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Of Gunpowder Deeds
There are many ways to kill a man. A blade in the night, poison in his drink, or hands around his throat. For the unjust, who ride the wastes on malignant steeds, the question of death had many answers.
To those who sit on the thrones of justice, with scrutiny in their eyes and the word of the law upon their tongues, the answer was the hangman's gallows or the headman's block.
For he who stalks this Fragment, where the Deadman himself comes to play, the question of death has but one answer. But he is willing to repeat it six times.
-From, The Lay of the Gunfighter,
Thibian Crass, 3092 AFL
The Deadman's Waste,
The Fragment of Tume,
Smoke rose from the farmhouse across the gulch, pluming grey to mar the clear sky. He was too late to save them. Old story now. For six weeks he'd been too late. He'd missed the smoke, only finding smoldering ruins and corpses. At the first homestead he'd buried the bodies. But that only slowed him down, so he'd left the others where he'd found them to sniff out his quarry's trail. His spyglass showed him horses hobbled near the porch; blurred movement through adobe window casings; a woman breaking from her home, rushing for the corral. His teeth gritted when two men burst into view, tackling her. He took the glass from his eye, not wanting to watch the inevitable.
Turning to spit, he tightened his grip on the old cloak wrapped about his shoulders. Once black it was faded now to match the distant smoke. Faded like the long greasy strands tied back from his head. Faded like the barren ridge he stood on, and the badlands between him and men who deserved the Deadman's regard. Snapping the spyglass closed, Bates turned to where his roan nag waited and sauntered to her. It would be hours before Longshot and his boys were through with their fun. Best to take his time, arrive after the fires of violence and rape subsided. When their minds and bodies fogged after sating their lust he would go to work.
Foot in the stirrup he froze at the call of a crow. The roan whinnied her worry and he looked up, saw the black smudge descending. Letting out a soft growl he hoisted himself into the saddle, and worked to steady his edgy mount. Another caw brought him round to see the buzzard alight on a rise of brown-red rock. Feathers shook as its body began to convulse. He looked away, fishing out his flask. He drank the biting whiskey, listening to the sickening sounds of bones and flesh changing, realigning. He hated this part, and so focused on the distant smoke until he heard her relieved sigh.
'I told you our debts done.' He hitched his gaze back, eying the waifish woman standing in place of the crow. 'We ain't got no more business, you and I.' Gaze back to the smoke, lips to the flask. 'Go away.' He drained the dregs.
'Inspector,' she teased, and from the corner of his eye she hopped down into the dust. 'Old friends don't appreciate being turned away after so long.'
He sniffed, a phantom of grin playing at the corner of his mouth. 'Old friends, eh?'
'Partners then?' As always her voice was cloying. But he was immune to the toxins of her words now, having built up a resistance to her after so many years of empty promises and broken trust. Whatever game she came to play, he'd have no part in it. 'I miss the days when you'd at least spare me a snide remark.'
'Yeah, well, I'm awful broke up about that.' Would that he could spare a bullet for her now, but ammunition was scarce and he'd need all the lead he had to finish the job. Six in the chamber, two looped on his belt. Three men to kill. Perhaps after he'd carve her name into one, if one still remained.
'You've certainly soured with age. Bates, forget this; no one's left to pay you for his head.' She was right, but that had stopped being the point weeks ago. 'I'm here for something important.'
'Ain't you always,' he turned a scowl on her. 'What is it? Another lover scorn you and you don't wanna pull the trigger yourself? Fuck off.' Heels to his roan's flanks he started her down the path into the gulch.
But that blasted woman would not relent. From behind she called down to him. 'Bates! I may have the answer you've been looking for.'
Right. He didn't turn back as his horse picked her way down the trail. Another baseless guarantee. He was done them.
He thought he heard her exasperate. Moments later there was a flap of wings and the crow's cawing. It wheeled overhead before gliding towards the farmstead. Olden cursed bitch, he thought watching it.
Half an hour later he reached the valley floor. Tumorous boulders forced him into a winding path, giving him time to put away her words and consider the task ahead. Longshot Quade's reputation was born on the quickdraw, tempered by vile appetites, and polished with the blood of simple folk. To call the man a bandit wasn't enough. Wasn't near enough. He was more like the demon many claim possessed his soul, but Bates knew the truth. He knew men like Quade suffered not at the hands of some otherworldly force, but were driven by dark desires they somehow justified with their twisted logic. Twisted enough to bring their own flesh and blood into this world of atrocity and violation. That, he believed, may be Quade's greatest crime: indoctrinating his sons, dragging them along with him into the depths of wicked deeds.
Justice demanded that a man and his boys die today...
Rounding a corner created by a clutch of boulders Bates hissed a curse. There she was again, sitting on a large flat-topped rock, knees pulled up high. 'My poor stubborn Bates; there's three of them up there you know. Quade's quick enough to give you trouble on his own, and I understand his boys aren't too slow on the draw neither.' She picked at loose pebbles and grit as she spoke, while azure eyes flickered his way.
He rode past her without comment, and only the barest of glances. She hadn't changed. In seven years, while time ate away at him, she'd been able to avoid temporal decay. Her skin had retained its creamy-alabaster shine; the short blue-black curls on her head remained lustrous and thick; hell, she still wore the same short black dress she'd had on when they first met. And where time had furrowed heavy creases into his face, not a new line had appeared on hers. None of this surprised Bates, for he knew what she was...
'Don't you want to see Trillium again? Or your son?'
That's it! She'd gone too far. He reined his horse in, turning her as his hand snatched at the revolver at his hip. 'You don't talk about 'em. You hear me?' For emphasis he thumbed back the hammer, cocking the pistol.
Her smile was patient and condescending. 'What are you gonna do with that? Give me a headache?'
There weren't many who wouldn't have been afraid staring at the barrel of his battered Renfield Peacemaker. He'd seen the death of bravado in many men's eyes when he turned his sights on them, but not Evelyn. Never Evelyn. A bullet might shut her up for a time, but it would certainly piss her off. And right now he didn't need an immortal's fury at his back. 'Shit.' Depressing the hammer he put the gun away. 'I don't wanna hear it. Any of it.' He worked his mount back onto the trail.
For three years he'd run around like a headless chicken at her behest. She'd found him wandering the Waste, lost and severed from his home time. She'd pretended at mercy, taking him in, teaching him the ways of this foreign Fragment. The promise of a way home was often given in those days, playing the part of a dangled carrot. He, of course, had been the ass chasing it. Three wasted years he didn't want to repeat.
His horse whinnied and threatened to buck suddenly, when a blur of motioned dropped before them. Evelyn stood there in the road, arms crossed, her smile caught between annoyance and confidence. 'I know you've written me as the villain of your personal sob story, Bates, but I'm here to help.'
'Help? Like how you helped me by sending me after the Preacher? Or how about those weeks I spent in a cell up in Carver? I don't need - or want - your fucking help. Accord?' He didn't wait for a reply, instead snapping the reins and urging his mount to shove past her.
'Fine.' She stepped aside. 'You go up there and get yourself shot, Bates. I'll come talk to whatever's left of you.'
'You do that.'
'I will.'
With his back to her he allowed himself a small smile of victory. She would not relent, he knew, but any time he could so frustrate one of the Olden, he'd mark that in the winner's column.
The sun was low on his left by the time he crested the sloping incline of the road. Evelyn had left him alone to climb the far side of gulch, but now and then he'd spied her circling above him in her avian form. He forgot her as the farmhouse came into view. Nothing to write letters about, the wasteland home stood a single storey. White adobe walls were blackened in spots where fire had scoured them. Smoke still lifted from around back, but no longer in the fat plume he'd seen with his spy glass. Lazy trails rose to be carried away by the breeze. The woman he'd seen fleeing was still just outside the corral, lying still, lifeless in the dirt.
His horse huffed her anxiety, stamped her hoof and tossed her head. 'Easy,' he patted her neck and dismounted. Watching the house for signs of life he walked her over to what he guessed was the remains of a flagpole and tied her off. Then he stood beside her, still watching the house and listening. It was quiet, save for the wind whistling by, kicking up puffs of reddish dust. He wondered what could have grown there, shrugging off his cloak and tossing it up on the saddle. Sorghum, he guessed, but so late in the season whatever crop had been raised there should have been harvested by now.
Taking his first step towards the farmhouse he pulled his pistol, cocking it. Porch-steps creaked under his boots. Movement in a window froze him. Just a curtain caught in the wind. He relaxed his aim and crept to the open door. The smell of blood and piss and shit breathed out from the portal. He slipped in without pushing the door, gun leading.
A disgusted grimace at what he saw. Strewn about the open interior were the bodies of the family that had called this house home. A pair of young boys face down on the floor, their own blood pooled into a congealed mess. A man - their father? - laid out spread-eagle, his throat slit. A mother, now no more than a carved up jumble. All signs of Longshot Quade's presence.
The open concept home left few places for his quarry to hide. With cautious, practiced steps he stalked through the house, eyes searching and ears perked. A laugh from somewhere outside stopped him. He waited. A voice rose wordless in answer. He headed for the back door.
The back door too had been left open, and through it he saw them.
Longshot stood in his gambler's black, directing the two young men with him. His boys were loading plunder onto their horses. They must know Bates was on the trail, or at least some agent of justice. They weren't about to wait for some gun to come calling. Neither would Bates.
Flinging open the door he took them by surprise. His first shot cracked, dropping one of Longshot's sons unfortunate enough to be standing between Bates and the old man. Stepping onto the back porch he fired again, taking advantage of the single-action mechanism of his revolver. Trigger still depressed, he fanned the hammer back with his palm. Longshot's second son died with a short scream.
Though only seconds had passed between shots, Longshot Quade had drawn his pistol and fired in the same moment Bates released a third cartridge. Hot agony blossomed in his shoulder, the impact of Quade's bullet spinning and dropping him to a knee. 'God damn,' he grated. He heard a horse screaming and looked up.
'You sonofabitch!' Unharmed, Longshot was seething as he leveled his revolver.
Struggling through blinding pain, Bates held to his Renfield with a desperate grip and growled as he fought to raise it in defense. Quade's pistol barked. Bates fell to his back, new agony blooming red from his belly.
'I ain't gonna make it quick.' Through watery vision Bates saw him kneel to check on one son. 'Ain't gonna make it quick at all...'
Bates couldn't get his wounded arm to move. Frantic and rickety, he reached for his pistol with his left hand. His heart beat in panicked rhythm, pumping blood out the holes in his flesh. Blackness closed in as his fingers fumbled with the grip.
'I'll wear yer fucking skin like a coat!' Longshot said, his shadow falling over Bates.
The damned gun wouldn't co-operate with his fingers; he couldn't get a grip. He always figured he'd die like this, alone in the wastes at the hands of a madman. But now that his fate was descending, he found himself raging at it. He thought of his wife and son, wanting their faces to be the last thing he saw before the Deadman came for him.
But it was not death's invitation to eternity nor the blast of Longshot's pistol coming to his ears. It was the screeching of a crow. A shot went off, a scream followed, and Bates clamped shut his eyes against a bright white light. When he opened them Longshot was gone and Evelyn stood there instead, smirking. Next to her, a pile of ash...
'Was more work than I wanted to do today, Bates.' Her bare feet started her towards him. He held the wound in his belly, the warm blood soaking his hand. 'And looking at you now, seems I've got more work ahead. Unless, dear Bates, you'd like to die?'
He groaned in prelude to a curse, but when he made to speak a cough racked him instead. It filled his mouth with the taste of copper and more of his life spilled down his chin.
'I'm sorry, what was that?' She crouched before him, one hand on his thigh while the other wiped the blood from his lips. 'You must've been thanking me, weren't you?' He hated this about her the most: the warmth she pretended. Her hand lifted to brush away a strand of his hair and her eyes held his, feigning compassion. 'Bates, do you want to die here, alone, so far from those you love? From those who love you?'
Managing a sneer he shook his head, and nearly swooned from the effort.
'Of course you don't.' Her hand on his thigh traveled up to his at his belly. She pushed his aside, leaning over him to hover as a lover might. Her scent reminded him of dew covered grass. It settled a piece of his heart. 'Bates,' she whispered, pressing her forehead against his. 'This is really going to hurt.' With no other warning she put her mouth to his and he cried into her as her hand plunged into his wound.
Pain eclipsing that of the bullets lodged in his body coursed through him. Muscled stiffed in answer. He bit down on her tongue; it held like a thick strap of leather. Through it all he could feel her fingers moving, searching for the foreign piece of lead. And then relief came as she pulled her hand out. His muscles relaxed. He released her tongue and opened his eyes.
'Shh.' She straightened, showing him the bullet in her wet red hand. Tossing it she smiled, and a glow flared from her hand. 'Almost done.' The hand went back to his belly. Searing heat made him convulse. With a fistful of his hair she forced his head back. 'Easy Bates. Easy. Shh.' Her words were like anesthetic, numbing his mind to the pain of healing. He let out a wet gasp when she was through. 'Better now, isn't it?' She shifted, easing herself atop him, straddling his hips.
'Now let's take care of that shoulder, then we'll speak of our new debt.' The smile that came to her lips, a moment before she planted another kiss on his, was devious and arrogant. He screamed as her fingers drove into his shoulder: a muffled curse.
She'd been told many times that the rays of the sun were meant for healing. That Lurion's gift of light could cure all illness and make whole all wounds. That to bask in His glory, sins laid out unhidden like offerings, was to be cleansed. And yet, sitting on the flattop of the temple roof, arms wrapped around drawn up knees, she felt nothing divine from the smouldering disk stuck up in the blue. The raw wounds crisscrossing her back still burned with the fury of her Sister's wrath. The knot in her gut still twisted, wringing out the wrongness of it all to drip on and soak into her soul.
She wiped at the phantoms of old tears, long dried up like the rivers of the waste. She swallowed a lump of self pity. It would do her no good. She could rail at the harsh lessons taught at the end of a switch, but it would only stoke the fires and so goad the switch and the women holding the other end. Was that the lesson they wished to teach her? To keep quiet, never questioning, never voice protest at the unfairness she felt? What would break first; their assiduity or her unflinching certainty?
Voices rose below her, clawing up from the courtyard, calling her name. The Matron was looking for her again. Switch in hand no doubt. The wounds on her back were fresh, yet there was still unmarred flesh enough to break.
Break the flesh and the soul shall follow. She couldn't remember where she'd heard that axiom. It didn't matter. It was the truth these women lived by. They break the initiate down until they're no more than a lump of life trembling on the flagstones and can be remolded into a proper image befitting their devout sensibilities. Perhaps she could bear it, had she chosen to live amongst the Sisters of the Solar Fire. If, like Worry, she'd seen the light and sought them out then she wouldn't find the path so hard to follow. As it was she too often stumbled from it and wandered the open plains of her own desires.
The groaning of wood and metal caught her. Someone was coming up through the roof-hatch. She didn't want to look. Didn't want them to see the fear, but her body betrayed her and she glanced over. Relief sighed out from her, and turned away resting her chin on her knees. It was just Worry; too meek to swing the switch.
'Tanner.' Footsteps shuffled towards her. 'Tanner, what...where are your clothes?'
She snorted. 'I dunno.' It hurt to shrug, the movement tugging at broken skin.
'Heart of the Sun; your back.' Cool, like damp cloth on a fevered forehead, Worry's fingers brushed her back. She didn't flinch at her friend's gentle touch. Tender connection at the House of the Solar Fire was as rare and precious as water to her. 'The Matron is looking for you.'
'I know.'
'She's really gonna give it to you now, you know.'
'I know.'
Her friend's exasperated sigh brought a crooked smile to her. 'I hope he was worth it.'
Tanner shrugged again, wishing her friend would keep touching her to counteract the pain. 'He was all right, I guess.'
'All right?' Worry's pale face swung around into view. Her red curls seemed to bristle. 'The Matron's gonna beat you harder than ever.'
Despite herself, Tanner grinned again. The memory of the night before, spent in carnal secret with the Matron's future lover, was too sweat. Not because the young man was any good or knew what he was doing. Virgins never do. It was because after years of having her pride stripped from her finally she'd been able to take something from that stern old hag.
The voices below sounded on the edge of cursing. Tanner had certainly pushed these pious women to the brink once more.
'Do you want to know how he was?' Worry's green eyes grew to saucers at her question. The poor girl, as far as Tanner knew, had never even tasted a man's lips or tongue before. The look of curious discomfort on her friend's face may be her last slice of joy for some time. 'Well?'
'Okay. I mean no.'
'You mean yes.' She tilted her head. 'Worry, I know you want to know what it's like.'
'No I don't.' Red curls tossed as Worry shook her head. But Tanner saw the truth writ in sparkling gaze.
'When you grab it it gets hard.'
'Stop it.' Worry glanced over her shoulder, checking the trapdoor.
'They like when you play with it.'
'Don't!' Worry hissed. 'You shouldn't speak of such thinks under the Sun.'
'We could find him tonight and I could show you what to do.'
Worry surprised her then with a slap across the cheek. 'Shut up.' She rose and another slap descended. Tanner did not lift her arms in defense. She took her friend's anger with quiet, reactionless rebellion. What's another welt between friends. 'Why?' Worry asked when her outrage had ebbed.
'Why are you always trying to lead me down to blasphemy?'
'That's a little stilted, isn't it?'
'Tanner...' Fist at her hips, head tilted to one side, Worry looked so much like one of the Sister's now. Tanner almost laughed.
'Go on,' she waved her friend away. 'Go tell them where I am, so I can take my beating already.'
Worry looked ready to say something, lips parting, but then they clamped shut. 'I'll come see you after, okay?'
'If they let you.'
'Tanner, they're not without mercy.'
Looking away from her friend, back out across the broken brown wastes running from the temple in all directions, Tanner shrugged.
Worry did come to her that night, long after the lamps had been turned low and the evening prayers had been spoken. It was hard for Tanner to tell at first who had entered her cramped chamber, with one eye swollen shut and only a single candle to light her friend's face.
'Oh, Tann...'
There was a part of Tanner that didn't want Worry to see her in this state, but it's voice was so quiet now she easily ignored it. 'Hey,' she croaked. Split lips stung as she tried a smile.
Worry put something down on the little table beside her cot. 'They let me come to clean your wounds.' And true to her word, Worry began to prod and wipe with a cool damp cloth. 'I didn't watch,' she said as she worked at the dried blood at the corners of Tanner's mouth. 'I couldn't.' Her voice sounded close to breaking.
'Are...' Tanner had to swallow before she could manage the words. 'Are you all right?'
The cloth froze hovering. Worry frowned. 'How can you ask me that?' She went back to work, her ministrations focused now on the deep cut along Tanner's cheek. The switch hadn't been enough for the Matron. She flinched recalling the dagger's blade being drawn across her skin, opening her. It would leave her scarred, but that was the point. No one wants a cut up whore.
'You're too gentle for your own good.' She reached out from the blankets, her shaky hand to her friend's creamy cheek. But her burnished fingers seemed to sully Worry's perfect complexion and so she quickly took them away.
'And you're too stupid for yours.' Worry was smiling as she spoke, small and gentle. Just like her.
'She really gave it to me this time, hey?' Her friend said nothing to that, but her expression fell. 'Next time you might be burying me.'
'Stop it.' Worry stiffened. 'I hate when you talk like that.'
It hurt to laugh, and even the chuckle Tanner let out then caused her to wince. 'I thought you hated when I talked about sex.'
'That too. I hate most of what you say.'
'Then why do you keep talking to me?'
Worry kept silent while finished cleaning Tanner's visible wounds. 'Can you sit up? I need to get to your back.' With her help Tanner got up. Naked beneath the covers, her ravaged back exposed, she shifted forward while Worry sat behind her on the bed. 'There shouldn't be a next time.' Tanner grimaced as the cloth touched at the raw wounds. 'You need to conform, Tann. If you don't...'
She didn't need to say it. The Sisterhood had but one answer for failure. And there were unmarked graves out in the waste that could attest to that. 'There won't be a next time.'
'Good. Wait. What?' Ah, Worry: smart enough to know her warnings fell on Tanner's deaf ears. 'What do you mean?' Hands on her shoulders, Worry leaned over her.
'I mean there won't be a next time.'
'Why?' Over her shoulder Worry looked scared. 'What are you planning?'
'Who says I'm planning anything?' Tanner snatched her gaze away.
'I do. I know you won't comply. Do you want to die?'
'Of course not.'
'Then what?'
'Do you love me?'
'Do you love me?'
Worry's fingers on her shoulders tightened their grip. 'Yes.'
'Do you love me enough to keep quiet?'
'Tanner, please--'
'I'm leaving.'
'What? You can't.'
'Yes I can. I didn't ask to be here. I don't want to be here, and no one wants me here anyway.'
'I want you here.'
'I know.' She leaned back into her friend, accepting the pain in her back as a price for closeness. Worry had been the only one there to give a damn about Tanner. The only one to offer a shoulder when the sun burned black and hope was raped before her eyes. With her hands she took Worry's and wrapped her arms about herself like a scarf. 'You're the only light in this place.'
'You'll keep pushing them, won't you?' Worry's breath was warm on her ear and smelled of spiced vegetables. 'If you stay you'll get yourself killed.'
'And maybe you in the process.'
'You love a whore. If they find you out...' Worry's arms tightened around her and she buried her face in Tanner's neck. 'It's best for both of us if I leave.'
'They'll hunt you,' came Worry's muffled reply.
'But at least I'll have a chance.'
Neither girl spoke after that. Worry just held her until sleep crept in through the darkened window to claim them. Once in the night Tanner awoke to find her friend still holding her, snoring softly. And new tears welled in Tanner's eyes at the thought of leaving her friend behind.
Bates woke with a bed beneath him and rays of sunshine bathing his face. Groggy, grainy-eyed and stiff, his gaze cast about the unfamiliar room. For a moment he thought himself home, with Trillium beside him. But that had been a dream. Lying back, staring up at the rafters, he reached for his shoulder. Touched bandages. Tried to move that arm, but pain sapped his strength. Under the sheet covering him he found bandages wrapped around his belly. He wished the dream reversed; wished he'd woken up with his wife, his journey through the wastes a nightmare to be forgotten.
He looked over when the door began to creak on rusted hinges. 'I bet you feel like shit,' Evelyn said, leaning on the door frame. She lifted a hand-rolled cigarette to her lips. 'You look the part.' White smoke poured from her nostrils.
'I'm fine.' He tried to rise but it was difficult using only one arm. 'Or,' a groan interrupted him as he propped himself up, 'I will be.'
'You're welcome.' Pushing from the frame Evelyn sauntered over to the bed. Delicately she put the cigarette between his lips. 'How's the pain?' She eased her slight weight down beside him, looking on him in some pseudo-motherly fashion.
Before answering, Bates took a long and satisfying drag. He'd been too long without tobacco on the road, having burned through his supply weeks ago. She was, he knew, moments from launching into some request to settle their new debt. He would at least enjoy this smoke before she got to the bad news. 'I said I'm fine.'
'That you did.' A wistful expression softened her face. 'I noticed a lot of new scars. These past years have not been kind to you.' He puffed on the cigarette, not answering, only watching. 'You should have stayed with me.' She looked away. 'I could have saved you some pain.'
He snorted, almost laughing at that. 'Right, Ev.'
'You lack faith,' she turned back to him. 'You always did.'
'I have faith. Faith your kind's always got some damned fool-errand for us mortals. Faith you'll get us all killed one day.'
'Enough with the Blackwatch propaganda, Bates. I'm not here for a fight.'
'No,' he said, squashing out the cigarette on the side table. 'You came calling with yet another promise. Well, I'm here, at your mercy, so go on, talk.'
Her mouth formed a condescending smile and her eyes took on a cold quality. 'I was coming to you with a mutual offer, but now find you once more in my pocket.'
Olden cursed bitch. 'You said you had answers for me. A way home.'
'I said nothing of a way home, Bates. But yes, my answers did lie in that direction. Too bad,' she stood up from the bed. 'Now you owe me Bates. So I suggest you listen well, or I'll reverse the gift I've given you and leave you to the buzzards.'
'Same old shit.' He tore his gaze from her. 'Just another fucking carrot.'
'No more carrots Bates,' she stepped around the bed to look him in the eye. Her gaze was hard, cold, and maybe a little desperate. 'No more games. I need you Bates, or an innocent girl will die.'
Cutting remarks died on his tongue. He was not fool enough to believe only ice ruled Evelyn's heart. There were after all those who prayed for her fabled mercy... 'All right. Let's hear it.'
Her old smile returned.


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Beach Holidays in Sri Lanka
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March 13, 2014 | Volume 44, Number 10
The Haines Chamber of Commerce Board of Directors would like to thank everyone who attended and participated in the economic development summit this past Saturday. We would like to acknowledge and thank King's Store, Southeast Roadbuilders, Ch...
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Nvidia Signs On Cray Exec As New Tesla CTO
A few weeks ago Cray CTO Steve Scott made waves in the HPC News media with the announcement of his resignation and move to a "computing partner" that wouldn't be named. Most people figured they meant AMD. Well, it's been named now and it's a shocker: He's the new CTO of NVidia's Tesla business unit.
"There are few people on the planet that have Steve's deep system level understanding of high performance computing," said Bill Dally, Nvidia's chief scientist. "Steve's decision to join Nvidia is a resounding endorsement that GPU accelerated computing is the future of HPC. He will play a central role in architecting the world's most powerful supercomputers."
via Nvidia Signs On Cray Exec As New Tesla CTO.


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Don't miss our new wrestling DVD featuring Rob Koll! See what it's like to be in the wrestling room at Cornell University. In this unique wrestling DVD, Rob Koll opens the doors to three of his practices from the 2010 season. Experience the inner-workings of Cornell practices, get drills and techniques you can use in your program and see what it takes to run a championship caliber practice!
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We've updated the security of this forum and aim to have a revised forum format in place early 2016.
Any idea who else makes rock courses in the U.S.?
My belief is this is one more of their many stalling techniques that they have done. You need to explain to them that there are not alot of people doing this because it is a realtively new technique. Offer to let us help to critique the vendor to since we are going to be the user base.


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Lemonade Cake
Brandi Kirkpatrick @IdGirl25
I have had a love affair with BettyCrocker.com for years! This is one of my favorite birthday cakes to make myself (I am a little OCD). Anyway, the more lemon the better in my mind. I usually frost it with a traditional butter cream or a lemon scented frosting, it's yummy!
- 1 box betty crocker® supermoist® lemon or yellow cake mix
- water, vegetable oil and eggs called for on cake mix box
- 1 can (6 oz) frozen lemonade concentrate, thawed
- 3/4 cup powdered sugar
- frost with favorite vanilla/lemon fronsting
Directions Step-By-Step
1Heat oven to 350°F (325°F for dark or nonstick pan). Make cake as directed on box for 13x9-inch pan. Cool 15 minutes.
2Mix lemonade concentrate and powdered sugar. Pierce top of warm cake every 1/2 inch with long-tined fork, wiping fork occasionally to reduce sticking. Drizzle lemonade mixture evenly over top of cake. Run knife around sides of pan to loosen cake. Cover and refrigerate about 2 hours or until chilled.
3Spread frosting over top of cake. Sprinkle with sugar. Store covered in refrigerator.


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Chicago's very own super middleweight prospect Donovan "Don Da Bomb" George (24-4-2, 21 KOs) will return to the ring on Friday, April 18, as he makes his "Fight Night at Horseshoe Hammond" debut as the headliner at the The Venue.
Joining George as co-features on the card are exciting Chicago super middleweight Mike "Hollywood" Jimenez (13-0, 10 KOs) of Chicago and Russian heavyweight sensation Andrey Fedosov (24-3, 19 KOs) who just relocated to the Windy City.
"Donovan is working hard and he is ready. There is no better place for him to return to the ring than The Venue and 'Fight Night at Horseshoe Hammond," said Bobby Hitz. "This card is stacked with local fan favorites with great followings."
Also on the card, which is co-promoted with Round 3 Productions, is Chicago cruiserweight Dimar "Strongman" Ortuz (9-0, 6 KOs), welterweight Roy Navarro (5-1, 3 KOs) of Chicago, light welterweights Antonio "Aztec God of War" Canas (9-1-1, 3 KOs) and Genaro Mendez (7-2-1, 4 KOs) of Chicago as well as Eddie Ramirez (3-0, 3 KOs) of Aurora, and Chicago lightweight Fiore (11-2-1, 7 KOs).
George is co-promoted by Hitz Boxing and Round 3 Productions.
"I'm so excited to welcome Donovan back into this ring," said Frank Mugnolo of Round 3. "He is going to put on a terrific show and remind fight fans why we call him 'Da Bomb.'"
I sat down with "Da Bomb" days ago so check out the interview below.
Interview with Don "Da Bomb" George
Q: Congrats on your marriage to the beautiful wife Aleksandra George, It appears that you guys are truly a perfect couple. How has the marriage life been?
DG: Married life is great. She is my best and only true friend and the reason I train so hard.
Q: A lot of trainers believe once a man gets married they become tamed beasts, they become a little bit softer. There is a quote from Sigmund Freud that reads "A woman should soften but not weaken a man."
What do you think about that opinion? Will marriage life tame the animal known as "Da Bomb" or will you continue to unleash hell on your opponents in the ring?
DG: That's funny. I have changed. Now I must fight even harder and be meaner than ever before for my family. I don't fight just for me anymore. I fight for her too.
Q: Recently you had a few bumps in your career, recently the loss to Minnesota's Caleb Truax. This was a fight that many believed you would walk away with your arms held high in victory, what went wrong?
DG: Everything
Q: Since that Truax fight you made some huge changes, one is your head trainer who was your father Pete George who also served as your manager for many years, why did you replace your father with Chicago's iconic Sam Colonna?
DG: Sam has always been In my corner for all my fights as a cut man. I decided I need a change. I hit a wall with my current team and I need to learn more.
Q: Don, the other big change was your decision to switch promoters from 8 count productions/Warriors boxing to join Hitz Boxing Entertainment headed by rival promoter Bobby Hitz of Chicago.
People are confused to what happen and are you currently signed with Hitz Boxing alone or a signed a co-promotion contract with Hitz Boxing and Frank "Muggs" Mugnolo's Round 3 Productions?
DG: I have been friend with Bobby and "Muggs" for years and my father goes way back with both of them. They are my co promoters. I am very happy
Q: We seen you countless of times at the Horseshoe Casino supporting the sport and your stable mate and friend Mike "Hollywood" Jimenez, how does it feel to finally fight at the Casino and on the same card with your friend?
DG: We have fought on a card together before but nothing this big. It's pretty cool. We plan on putting on a great show. #teamboom
Okay your next fight will be your 31st professional fight and obviously you want to win your 31st fight, but for Troy Lowry who currently sits on 28 wins wants you to be his 29th victory. How do you walk away victorious against Lowry on April 18th, 2014?
DG: I land my right hand and he goes to sleep. That simple
Q: I know you're not looking past your opponent but if you're victorious after this fight, Who do you got your eyes set on?
DG: I look to stay very busy and fight every 4-8 weeks until we get a big offer for a fight that makes sense
Q:Thanks for taking time out from your training to speak to us, anything else you would like to say to your fans and or critics ?
DG: Don't blink!
Any time bro. Thanks for the support brother


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The Breadwinner
ISBN13:by Ellis, Deborah
Groundwood Books
Questions About This Book?
Why should I rent this book?
Renting is easy, fast, and cheap! Renting from eCampus.com can save you hundreds of dollars compared to the cost of new or used books each semester. At the end of the semester, simply ship the book back to us with a free UPS shipping label! No need to worry about selling it back.
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Returning books is as easy as possible. As your rental due date approaches, we will email you several courtesy reminders. When you are ready to return, you can print a free UPS shipping label from our website at any time. Then, just return the book to your UPS driver or any staffed UPS location. You can even use the same box we shipped it in!
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Over two million copies of The Breadwinner Trilogy sold worldwide Eleven-year-old Parvana lives with her family in one room of a bombed-out apartment building in Kabul, Afghanistan's capital city. Parvana's father a history teacher until his school was bombed and his health destroyed works from a blanket on the ground in the marketplace, reading letters for people who cannot read or write. One day, he is arrested for the crime of having a foreign education, and the family is left wihtout someone who can earn money or even shop for food. As conditions for the family grow desperate, only one solution emerges. Forbidden to earn money as a girl, Parvana must transform herself into a boy, and become the breadwinner. The Breadwinneris a novel about loyalty, survival, families and friendship under extraordinary circumstances. A map, glossary and author's note provide young readers with background and context. All royalties from the sale of this book will go to Women for Women, an organization that supports health and education projects in Afghanistan.
Author Biography
Deborah Ellis has been to Afghan refugee camps and heard many stories like Parvana's. All the royalties from this book will be donated to Women for Women in Afghanistan, dedicated to the education of Afghan girls in refugee camps in Pakistan.


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Happy Cinco de Mayo! If you are looking for a last minute way to celebrate, introducing Dashed, with their delivery partner Foodler. They are offering up great packages to commemorate the occasion, delivered right to your home for an unforgettable fiesta.
Today, 5/5 choose from the following packages:
La Fiesta — $75
Classic guacamole, chips and salsa from Anna's Taqueria, plus the margarita essentials.
o Sauza Gold Tequila
o Sauza Premium Margarita Mix (1.75L)
o Bag of ice and limes (2)
o Add ons: Super Burrito: chicken $8.09, carnitas $8.09, steak $8.00 or market fresh veggies $7.05
El Mejor — $99
For the sophisticated Foodler amigos.
o Carnitas (3) or Mahi Mahi (3) tacos, chips and salsa from Mija Cantina.
o Patron Reposado (750ml)
o Limes (2)
Cervezas y Shots — $79
Enough said.
o Dos Equis Especial, 6 pack
o Patron Silver, 750ml
o Limes (2)
La Dulce Vida — $49
The sweeter side of Cinco de Mayo.
o Mexican hot chocolate ganache Churros from the Living Room
o Patron XO Cafe Coffee Liqueur, 750ml
The packages noted above will be available for purchasing both online at www.cinco.foodler.com or via the Foodler iPhone app! You can also use the code CINCO to get $6 off!


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Available for Adoption:
8 Months
Pointer Mix
Pet ID Number: C26843
How to adopt
All pets over 12 weeks are spayed or neutered.
We give a free spay/neuter certificate to those adopting kittens or puppies.
| Mercy is a very sweet, calm, gentle Pointer mix girl. She is much smaller than an average Pointer. Probably only 25 pound max. Good with children and crate trained. This little one is SUPER sweet.
Mercy literally came within seconds of being euthanized at an area shelter before we grabbed her.
$80.00 adoption fee.


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1990 (4-7)
Head Coach: Greg Davis
Coach Greg Davis entered the 1990 campaign with aspirations for his first winning season, but instead finished 4-7. Southwestern Louisiana rolled to a 48-6 win in the opener, but Davis rallied his troops to wins over Rice and SMU. A five-game losing streak ensued, but the team responded, bashing Cincinnati 49-7 and upsetting Syracuse on the road, 26-24. The season ended with a 16-13 loss to LSU in Tiger Stadium.
Running back Chance Miller had a big year for the Wave as his 805 yards rushing were the most by a Tulane runner since 1981. Against LSU, Miller's 158 yards were the most by a Tulane back since 1978. Quarterback Deron Smith closed his Tulane career with another 2,000-yard passing season. Wide receiver Melvin Ferdinand led TU with 57 catches.
Ranking Date Opponent Location Tul/Opp Score Result Attendance S1 UL-Lafayette New Orleans, La. 6-48 L 29,298 S8 at Rice Houston, Texas 21-10 W 20,200 S15 SMU New Orleans, La. 43-7 W 20,434 S22 Florida State New Orleans, La. NR/2 13-31 L 32,170 S29 at Ole Miss Oxford, Miss. 21-31 L 20,500 O6 at Memphis Memphis, Tenn. 14-21 L 26,759 O13 Southern Miss New Orleans, La. 14-20 L 26,662 O20 Mississippi State New Orleans, La. 17-38 L 22,826 O27 Cincinnati New Orleans, La. 49-7 W 21,548 N10 at Syracuse Syracuse, N.Y. 26-24 W 48,488 N24 at LSU Baton Rouge, La. 13-16 L 67,435
1991 (1-10)
Head Coach: Greg Davis
The 1991 season was one of the most trying in Tulane football annals, as the Green Wave struggled to a 1-10 record. The season opened with nine consecutive losses before Tulane whipped Navy. In game three against Mississippi State, Tulane was shut out for the first time since 1977 (152 games), and it happened twice more before the season was over.
While the team struggled, there were some individual accomplishments of note. Sophomore Wil Ursin caught 70 passes for 969 yards and nine TDs to post one of the top single-season performances in Tulane history. Against East Carolina, Ursin caught a TU-record 15 passes, including three TD receptions in the second half. The next week, he caught three more TDs against Navy to spark Tulane to its only win of the season.
Jerome Woods and Billy Duncan shared the quarterback spot, and for the first time in school history two players passed for more than 1,000 yards each. Defensively, freshman safety Mike Staid led the team with 108 tackles and three interceptions.
Ranking Date Opponent Location Tul/Opp Score Result Attendance A31 Ole Miss New Orleans, La. 3-22 L 32,879 S7 at Florida State Tallahassee, Fla. NR/1 11-38 L 61,801 S14 at Mississippi State Starkville, Miss. NR/25 0-48 L 36,429 S21 Rice New Orleans, La. 19-28 L 18,475 S28 Syracuse New Orleans, La. 0-24 L 19,729 O5 SMU New Orleans, La. 17-31 L 19,708 O12 at Alabama Tuscaloosa, Ala. NR/19 0-62 L 70,123 O19 at Southern Miss Hattiesburg, Miss. 14-47 L 16,558 N2 at East Carolina Greenville, N.C. 28-38 L 31,126 N9 Navy New Orleans, La. 34-7 W 23,322 N23 LSU New Orleans, La. 20-39 L 38,384
1992 (2-9)
Head Coach: Buddy Teevens
The Buddy Teevens era began on a bright note as the Green Wave won its season opener over SMU by a score of 13-12. Three weeks later, Tulane beat Nevada, 34-17, to improve to 2-2. However, the Green Wave did not win again and finished 2-9.
Starting quarterback Billy Duncan broke his right ankle in game three, and the Green Wave felt his absence. After the 2-2 start, Tulane battled eventual national champion Alabama fiercely in game five, holding the Crimson Tide without a touchdown for nearly three quarters before losing 37-0. Narrow losses the next two weeks, followed by a blowout loss to Memphis, ended Tulane's slim hopes for a winning season.
Slowed by injuries, fullback Chance Miller rushed for 306 yards and ended a fine career as the fifth-leading rusher in Tulane history with 2,023 yards. Wil Ursin led the team 55 receptions for 755 yards. Defensively, Mike Staid led Tulane in tackles (133) and interceptions (3) for the second consecutive year.
Ranking Date Opponent Location Tul/Opp Score Result Attendance S5 at SMU Dallas, Texas 13-12 W 15,100 S12 at Ole Miss Oxford, Miss. 9-35 L 30,200 S19 at Iowa State Ames, Iowa 14-38 L 38,913 S26 Nevada New Orleans, La. 34-17 W 23,741 O10 Alabama New Orleans, La. NR/6 0-37 L 50,240 O15 Southern Miss New Orleans, La. 7-17 L 21,760 O24 Boston College New Orleans, La. NR/11 13-17 L 25,646 O31 Memphis New Orleans, La. 20-62 L 20,936 N7 at Navy Annapolis, Md. 17-20 L 21,912 N14 at Florida State Tallahassee, Fla. NR/5 7-70 L 60,127 N21 at LSU Baton Rouge, La. 12-24 L 59,919
1993 (4-8)
Head Coach: Buddy Teevens
Year two of the Teevens era - the 100th year of Tulane football- produced an improved product. In the opener against Alabama, Jerald Sowell broke off the longest play from scrimmage in school history with a 98-yard run. In the home opener against William & Mary, the Wave pitched a 10-0 shutout, Tulane's first blanking since 1973. Two weeks later, the Green Wave defeated Navy 27-25 on Bart Baldwin's 43-yard field goal as time expired. Tulane also won at Southern Mississippi, 17-15.
Newcomer Craig Randall started 10 games at quarterback and passed for 1,565 yards. Sowell was the leading rusher with 403 yards and Wil Ursin had his third consecutive 50-reception season. Mike Staid led Tulane in tackles for the third straight year with 133.
Ranking Date Opponent Location Tul/Opp Score Result Attendance S4 at Alabama# Birmingham, Ala. NR/2 17-31 W 83,091 S11 at Rice Houston, Texas 0-34 L 23,400 S18 William & Mary New Orleans, La. 10-0 W 20,517 S25 Mississippi State New Orleans, La. 10-36 L 28,580 O2 at Navy Annapolis, Md. 27-25 W 21,117 O9 UL-Lafayette New Orleans, La. 15-36 L 25,970 O16 at TCU Fort Worth, Texas 7-14 L 20,987 O30 at Boston College Boston, Mass. 14-42 L 33,298 N6 at Southern Miss Hattiesburg, Miss. 17-15 W 16,397 N13 North Carolina New Orleans, La. 10-42 L 20,492 N20 at LSU Baton Rouge, La. 10-24 L 58,190 D4 at Hawai'i Honolulu, Hawai'i 17-56 L 27,541 #Alabama later forfeited game
1994 (1-10)
Head Coach: Buddy Teevens
Buddy Teevens' third season produced only one victory, but had its share of exciting moments. The one win came at Rice, 15-13, on a 47-yard field goal by Bart Baldwin as time expired, his school-record fifth field goal of the day. Kick returner Jeff Liggon had a huge season, setting an NCAA record for kickoff return yards and tying another for number of kickoffs returned. Safety Mike Staid, who started all 45 games in which he played at Tulane, ended his career as the No. 2 tackler in school history with 481. Fellow safety, Cedric Thomas, ended his career in a big way against LSU with two touchdowns - one on a fumble return, the other on a blocked punt recovery in the end zone. Running back Jerald Sowell became the first player in school history to have 600 yards rushing and 30 receptions in the same season.
Ranking Date Opponent Location Tul/Opp Score Result Attendance S3 Southern Miss New Orleans, La. 10-25 L 24,786 S10 at Rice Houston, Texas 15-13 W 15,400 S17 at North Carolina Chapel Hill, N.C. NR/16 0-49 L 43,000 S24 at Alabama Birmingham, Ala. NR/10 10-20 L 81,421 O8 at Memphis Memphis, Tenn. 0-13 L 19,400 O15 TCU New Orleans, La. 28-30 L 23,561 O22 at Mississippi State Starkville, Miss. 22-66 L 30,169 O29 at Maryland College Park, Md. 10-38 L 24,456 N5 Navy New Orleans, La. 15-17 L 20,603 N12 Ole Miss New Orleans, La. 0-38 L 25,644 N19 LSU New Orleans, La. 25-49 L 32,067
1995 (2-9)
Head Coach: Buddy Teevens
The fourth season under Buddy Teevens marked the end of an era - Tulane's last season as an independent. The Green Wave defeated Wake Forest and Rice on consecutive weekends to jump out to a 2-1 start, but starting quarterback Aley Demarest was injured in the next game and freshman Shaun King was pressed into action.
King became the first rookie in school history to pass for more than 1,000 yards, and Jamaican Dartez made his mark as the most prolific freshman rusher in school history with 544 yards and 10 touchdowns.
Four of Tulane's nine losses were by less than a touchdown, including a wild 45-40 shootout against Rutgers in which King passed for 372 yards. Linebacker Derrick Singleton led Tulane with 126 tackles.
Ranking Date Opponent Location Tul/Opp Score Result Attendance S2 Maryland New Orleans, La. 10-29 L 18,159 S9 Wake Forest New Orleans, La. 35-9 W 16,368 S16 at Rice Houston, Texas 17-15 W 18,100 S30 at Southern Miss Hattiesburg, Miss. 0-45 L 27,141 O7 at Ole Miss Oxford, Miss. 17-20 L 26,683 O14 Memphis New Orleans, La. 8-23 L 19,894 O21 at TCU Fort Worth, Texas 11-16 L 25,421 O28 UL-Lafayette New Orleans, La. 28-32 L 20,801 N4 at Louisville Louisville, Ky. 14-34 L 33,271 N11 Rutgers New Orleans, La. 40-45 L 16,098 N18 at Navy Annapolis, Md. 7-35 L 19,815
Head Coach: Buddy Teevens
Tulane's fifth and final season under Buddy Teevens resulted in a 2-9 record. The year got off to a rousing start when the Wave traveled to Cincinnati and won the first game in Conference USA history, 34-14. Tulane would lead at halftime in each of its final four conference games, but each by a total of 16 points, including two on last-second field goals.
Shaun King started all 11 games at quarterback and passed for 1,574 yards and eight touchdowns. Jerald Sowell (595 yards) and Jamaican Dartez (583) formed one of the best back tandems in school history. Brian Williams led the defense with 100 tackles, while Derrick Singleton had 77 tackles and three interceptions in only eight games. On special teams, Jeff Liggon set two NCAA career records for kickoff returns and was named the conference's special teams player of the year.
Ranking Date Opponent Location Tul/Opp Score Result Attendance A30 at Cincinnati* Cincinnati, Ohio 34-14 W 26,493 S14 Rice New Orleans, La. 14-21 L 38,839 S21 at Memphis* Memphis, Tenn. 10-17 L 27,386 O5 TCU New Orleans, La. 35-7 W 14,341 O12 Louisville* New Orleans, La. 20-23 L 17,561 O19 at Army West Point, N.Y. 10-34 L 35,971 O26 Southern Miss* New Orleans,, La. NR/24 28-31 L 20,394 N2 Houston* New Orleans, La. 17-20 L 14,474 N9 Syracuses New Orleans, La. NR/24 7-31 L 13,537 N16 at Navy Annapolis, Md. 21-35 L 24,952 N23 at LSU Baton Rouge, La. NR/18 17-35 L 78,966
Head Coach: Tommy Bowden
After opening the season with a 31-17 win over Cincinnati and tough losses to Rice and Syracuse, Tulane won three consecutive games, outscoring the opposition by a combined 138-49. Defensively, Tulane allowed 20.5 points per game, the fewest since 1981, and the Green Wave posted two shutouts in a season for the first time since 1973.
The Green Wave had a pair of 50-point games in one season for the first time since 1930, and scored at least 40 points on four occasions for the first time since 1928. Besides setting a C-USA record, the 64 points scored against Louisville were the most by a Tulane team since 1950.
Individually, King earned C-USA Offensive Player of the Year honors after throwing for nearly 2,600 yards and a school-record 25 touchdowns. Kicker Brad Palazzo led the nation in field goals per game and earned third-team All-America honors, the first Tulane player to do so since 1987.
Ranking Date Opponent Location Tul/Opp Score Result Attendance S6 Cincinnati* New Orleans, La. 31-17 W 20,828 S13 Rice New Orleans, La. 24-30 L 19,602 S20 at Syracuse Syracuse, N.Y. 19-30 L 42,246 O4 Army New Orleans, La. 41-0 W 16,242 O11 at Louisville* Louisville, Ky. 64-33 W 29,547 O18 East Carolina* New Orleans, La. 33-16 W 23,340 O25 at Southern Miss* Hattiesburg, Miss. 13-34 L 26,092 N1 at UL-Lafayette Lafayette, La. 56-0 W 17,724 N8 Memphis* New Orleans, La. 26-14 W 23,494 N15 Ole Miss New Orleans, La. 24-41 L 35,607 N22 at Houston* Houston, Texas 44-10 W 11,618
Head Coach: Tommy Bowden
The most successful season in the first 107 years of Tulane football was put together one game at a time. Some games were no contest from beginning to end, some saw Tulane romp early and coast home, some were hotly-contested until Tulane pulled away at the end, and one came down to the last play of the game.
When it was over, Tulane was 12-0. The 1998 team was the first Tulane squad to win 12 games in a season and the third unbeaten, untied squad in school history. Only one opponent, Louisville, was within a touchdown at game's end.
The 1998 team scored 499 points, 124 more than any previous Green Wave team had scored. The Wave scored at least 40 points in nine of 12 games, including the final seven contests of the year.
Shaun King broke almost every Tulane season and career passing record, becaming the first NCAA I-A player to amass 3,000 yards passing and 500 yards rushing in a season, and he established an NCAA I-A passing efficiency record of 183.3.
Statistics do not begin to describe the game-by-game impact that King's 38 TD passes and 11 rushing touchdowns had on Tulane's unbeaten run to the Conference USA championship, a decisive win over Brigham Young in the Liberty Bowl and a season-ending No. 7 national ranking.
The 1998 season began with road wins over Cincinnati and SMU as the Green Wave jumped out to big leads and never looked back. The home opener against Navy followed the same script, as King tossed a pair of TDs each to P.J. Franklin and JaJuan Dawson.
Next, Tulane prepared for a battle with C-USA power Southern Miss. To heighten the drama, King had broken his left wrist during the Navy game and was forced to play the remainder of the season in a soft cast. The Green Wave needed its defense to play its best game to have a chance against the defending C-USA champs, and it got just that as six USM turnovers fed a 21-7 Tulane win.
Two weeks later, Louisville gave the Green Wave its closest call of the season. With Tulane leading 28-22, the Cardinals drove to the TU three. On the last play of the game, sophomore defensive back Tim Carter broke up a pass in the end zone to seal the win.
The Green Wave exploded for 165 points the next three weeks to bury Rutgers, USL and Memphis and lift the season mark to 8-0.
The Tulane-Army game at West Point was probably the most exciting of the season. With King running for three TDs and passing for three more, Tulane and Army lit up the scoreboard. A 21-21 halftime deadlock turned into a 28-28 tie late in the third quarter. Then, Toney Converse ran for a TD and King cashed in an Army turnover with a TD pass to Dawson to put the Green Wave ahead 42-28. Army, however, responded and it was up to the Tulane offense to preserve a 42-35 lead. King capped a long drive with a 20-yard TD scramble to clinch win number nine. King became the first Tulane player to run for 100 yards and throw for 300 yards in the same game.
Houston and Louisiana Tech did their best to derail Tulane's drive to a perfect season, but there was no stopping the Wave, especially at home.
Sporting an 11-0 record, C-USA champion Tulane met the nation's No. 5 defensive team, BYU, in the Liberty Bowl on New Year's Eve. Before a national television audience, King passed and ran the Green Wave to a 34-6 lead after three quarters on the way to a 41-27 win.
Shortly after the regular season ended, Coach Tommy Bowden announced that he had taken the head coaching job at Clemson, and the Liberty Bowl win was coached by new head coach Chris Scelfo and Bowden's assistants.
FINAL RANKING: 7th AP
Conference USA Champions
Ranking Date Opponent Location Tul/Opp Score Result Attendance S5 at Cincinnati* Cincinnati, Ohio 52-34 W 20,721 S12 at SMU Dallas, Texas 31-21 W 12,316 S26 Navy New Orleans, La. 42-24 W 19,371 O3 Southern Miss* New Orleans, La. 21-7 W 32,527 O17 Louisville* New Orleans, La. 24/NR 28-22 W 26,217 O24 at Rutgers Piscataway, N.J. 22/NR 52-24 W 20,714 O31 UL-Lafayette New Orleans, La. 19/NR 72-20 W 25,177 N7 at Memphis* Memphis, Tenn. 15/NR 41-31 W 18,192 N14 at Army* West Point, N.Y. 14/NR 49-35 W 39,038 N21 Houston* New Orleans, La. 12/NR 48-20 W 26,978 N26 Louisiana Tech New Orleans, La. 11/NR 63-30 W 37,391 LIBERTY BOWL D31 BYU Memphis, Tenn. 10/NR 41-27 W 52,192
Head Coach: Chris Scelfo
A devastating rash of injuries combined with an inexperienced team spelled a tough season for Tulane in 1999. After an opening loss to Southern Miss, Coach Chris Scelfo rallied his young troops to impressive wins over SMU and Army and things were looking up. However, numerous injuries forced young players into critical roles.
The task of replacing Shaun King at quarterback fell on the shoulders of sophomore Patrick Ramsey. In the Green Wave's three wins, Ramsey completed 103-of-150 pass attempts for 12 touchdowns, and in narrow losses to Ole Miss, Houston and UAB, he completed 88-of-159 attempts for another eight scores.
Offensively, the Green Wave had a record-setting season behind the passing of Ramsey and the receiving duo of Adrian Burnette and JaJuan Dawson, who smashed several single-game, season and career receiving records. Freshman defensive back Quentin Brown had 50 tackles and broke up a half-dozen passes in only eight games.
The kicking game was a strong point, as Casey Roussel averaged 44.2 yards per punt and Seth Marler kicked nine consecutive field goals. The season finale against UAB, which the Green Wave lost 20-17, was the first overtime game in Tulane history.
Ranking Date Opponent Location Tul/Opp Score Result Attendance S6 at Southern Miss* Hattiesburg, Miss. 14-48 L 30,098 S11 SMU New Orleans, La. 53-19 W 20,097 S18 Army* New Orleans, La. 48-28 W 22,227 O2 at Syracuse Syracuse, N.Y. NR/19 17-47 L 48,286 O9 at Ole Miss Oxford, Miss. NR/25 13-20 L 40,914 O16 UL-Lafayette New Orleans, La. 48-32 W 24,407 O23 at East Carolina* Greenville, N.C. NR/20 7-52 L 35,021 O30 Memphis* New Orleans, La. 7-49 L 17,847 N6 at Houston* Houston, Texas 31-36 L 16,008 N13 at Navy Annapolis, Md. 21-45 L 32,840 N20 UAB* (OT) New Orleans, La. 20-23 L 18,592


text:
- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Annual Issues ·
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- Bibliographic Information ·
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- Table of Contents
International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 317214, 8 pages
Cooperative Processing Model for Wireless Sensor Networks
Department of Computer Information and Communication Engineering, Kangwon National University, Chuncheon, Gangwondo 200-701, Republic of Korea
Received 22 April 2013; Accepted 5 August 2013
Academic Editor: Wen-Hwa Liao
Copyright © 2013 Chongmyung Park et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Wireless sensor networks offer a distributed processing environment. Many sensor nodes are deployed in fields that have limited resources such as computing power, network bandwidth, and electric power. The sensor nodes construct their own networks automatically, and the collected data are sent to the sink node. In these traditional wireless sensor networks, network congestion due to packet flooding through the networks shortens the network life time. Clustering or in-network technologies help reduce packet flooding in the networks. Many studies have focused on saving energy in the sensor nodes because the limited available power leads to an important problem of extending the operation of sensor networks as long as possible. However, we focus on the execution time because clustering and local distributed processing already contribute to saving energy by local decision making. In this paper, we present a cooperative processing model based on the processing timeline. Our processing model includes validation of the processing, prediction of the total execution time, and determination of the optimal number of processing nodes for distributed processing in wireless sensor networks. The experiments demonstrate the accuracy of the proposed model, and a case study shows that our model can be used for the distributed application.
1. Introduction
Wireless sensor networks are generally composed of sensor nodes capable of detecting, processing, and transmitting. Sensor nodes collect environmental data, such as temperature, humidity, sound, vibration, or magnetic field strength, and send information that is processed from the collected data to the sink or base station. The data collected from the sensors are converted to digital data via analog-to-digital converters, and the sensor node identifies surrounding information, for example, object location or environmental event. The environmental information is used for forecasting certain events, monitoring disasters such as earthquakes and forest fires, or military purposes.
The traditional wireless sensor networks have been designed such that an external computing system makes decisions with data from the base station. The network lifetime in this type of architecture decreases because of relaying packets on the network and shrinks dramatically around the base station. Over the past decades, various methods to solve this problem have been studied based on distributing and sharing process resources. Distributed in-network processing can increase network lifetime and decrease the response time for events [1, 2].
The various wireless sensor network applications, such as tracking objects, detecting intruders, and monitoring structural health, generate many data packets on networks. Distributed processing or in-network processing reduces the number of packets to the base station by extracting information from measured raw data. More energy is required for transmitting and receiving data via radio frequency than for sensing and processing. Reducing packets into the network contributes to increasing network lifetime because it removes packet duplication caused by relaying packets to the base station [3].
Wireless sensor networks have different features from existing computing environments. A sensor node is small and has low computing power and very limited wireless bandwidth. Hence, the total execution time for distributed processing is affected by the data size and transmission rate. In particular, the low bandwidth of ZigBee that is used in a well-known sensor mote, such as MICAz of the University of California, Berkeley, affects the total execution time [4].
The energy efficiency and fairness of a network has been considered an important subject in the existing research concerning distributed or in-network processing. The execution time of the distributed processing has received little attention, though it is important to design energy-efficient sensor network applications. In this paper, we will focus on the total execution time estimation of processing and how to determine the optimal number of processing nodes based on a proposed estimation method in a low-bandwidth wireless network [5].
In Section 2, we describe clustered wireless sensor networks which bring the benefits in response time and energy consumption. Our proposed processing model is described in Section 3. In the network model we studied, how to validate it based on total execution time, the total execution time estimation model, and the cluster size for optimization of the execution time are discussed. We evaluate the accuracy of our estimation model in the experiment with the MICAz sensor mote in Section 4. A case study using a fast Fourier transform is presented in Section 5. Finally, we conclude the paper in Section 6.
2. Cluster in Wireless Sensor Network
Wireless sensor networks take the role of a bridge between the real world and the computing world. Distributed measurements are used in various areas including environmental monitoring, vehicle detection for transportation, detection of disaster, industrial safety management, military operation, and smart spaces [6].
Most sensor network applications need to be real time. Figure 1 shows the value changes according to time of a task with deadline in real-time systems. If the detected data are not processed on time, the value of the processed results will decrease in a soft real-time system of Figure 1(a) and become zero in a hard real-time system of Figure 1(b). If the processing delay affects safety, the value of the results can be negative such as Figure 1(c) [7].
Consider the sensor network application that detects an intrusion and takes a video of the area. Sensor nodes report to the sink node whenever a movement of a human, an animal, or some kind of object is detected, and the sink node decides whether it is an intruder based on the reported raw data. If the movement is identified as an intruder, the sink node sends the action command. The actions can be turning on a camera and taking a video. If the sink node takes action after the object has moved out of the area, the camera would not be able to record a video of the detected object [8].
Similarly, a structural health monitoring application checks the vibration frequency for detecting structural damage such as cracks. The collected vibration data are sent to the sink node, which analyzes the vibrations with signal processing techniques such as a Fourier transform. If structural damage is detected, the sink node should take action to alert the structural management system. However, if it takes a long time to relay data to the sink node, the action cannot be executed on time.
As described earlier, the real-time property is important for many wireless sensor network applications. However, it is difficult to obtain a fast real-time system. It may be impossible in some cases because the sensor nodes typically have insufficient resources and are deployed in harsh environments occasionally. Clustering techniques can be a solution for these wireless sensor network applications. The distributed processing or in-network processing of a cluster does not report all raw data. Instead, the node that has raw data processes data with neighbor nodes cooperatively.
The process of reporting data to the sink node suffers from not only end-to-end delay by multihop communication but also greater energy consumption in particular cases. The research [9] compared the performance of nonclustered and clustered sensor networks. They evaluated two types of "bit-hop metrics," which count the total number of bit transmissions in the network (). Their equations are summarized as follows: where is the total energy consumption by transmission, and are the energy costs by sending and receiving one bit of data, respectively, and and are the energy consumed for transmitting and receiving one bit of data, respectively. They assumed that there are sensor nodes in the network, the cluster size is , and is the average factor of in-cluster data reduction per each reported reading. Finally, they created the following equation:
From (2), we find the fact that the ability of clustered wireless sensor networks to outperform their nonclustered counterparts is conditioned by the values of , , and . Furthermore, they discussed two special cases, that is, and , and derived the conclusion that the degree of correlation between readings of intercluster nodes must be quite high to ensure full performance superiority of clustered over nonclustered wireless sensor networks. On the other hand, if correlation between the nodes' readings is very low or there is no correlation, the utilization of node clustering should be avoided.
In order to obtain high performance from clustered wireless sensor networks, the value of correlation a should be high. If a is controllable, the performance efficiency of clustering can be improved. In the research [9], the cluster head () aggregates data from the cluster member nodes based on spatial locality. We consider a different clustering model. The does not aggregate data but processes data with cluster member nodes cooperatively. The details are described in Section 3.
The local distributed processing model with clustering proposed in this paper can be an alternative to control a for improvement of the network performance in terms of energy consumption. In this model, the only has data; thus, the correlation of readings can be regarded to be very high so that the performance of clustered networks is guaranteed to be superior to the performance of nonclustered wireless sensor networks.
3. Cooperative Processing Model
3.1. Network Model
Wireless sensor nodes have very limited resources, including computing power, memory, and network bandwidth. This is a considerable difference between the distributed in-network processing of wireless sensor networks and the existing computing environments. In particular, we should consider low network bandwidth when designing in-network processing applications. According to the data size, distributed processing could be slower than execution on a node.
We consider a distributed processing model in a cluster in a wireless sensor network, which is composed of a root node that has data to be processed and processing nodes that process divided data from the root node. We assume the following statements to simplify our execution time estimation model.(i)The root node and processing nodes are located at the one-hop distance for direct communication.(ii)Transmission errors are not considered. It is assumed that the handling of transmission errors is performed at the sublayers of communication stack. (iii)The root node transmits divided data to all processing nodes in order from node 1 to node .(iv)The data transmission time from the root node to each processing node is identical because the divided data has the same size.(v)The network channel is preempted by one node at a specific time; that is, the number of nodes transmitting is one.(vi)The size of the data from the root node and returned data from a processing node after processing is equal.(vii)All processing nodes perform the same task.(viii)The execution time on each processing node is identical because the data size and task are the same on each node, respectively.
Figure 2 presents a processing model to cooperate in a proposed cluster. When the root node prepares data, it creates a cluster with processing nodes and transmits divided data with the same size to each processing node in order. The propagation time for a chunk data is defined as . The processing node that receives the data executes the given task for and returns the data. At this point, returning data is available after the root node finishes transmitting. We define the total execution time as the period between starting the data distribution in the root node and finishing data returned by node .
3.2. Processing Validation
Consideration of the minimum execution time given the network bandwidth is needed before planning to build a distributed wireless sensor network application. As we mentioned, typically wireless sensor networks are operated under low bandwidth, which affects the total execution time (). We use this minimum execution time () for the validation of distributed processing. If the minimum execution time is greater than the execution time () on a single node, the distributed processing is valid.
It is impossible that is less than propagation time for the whole data including data scattering and gathering. Therefore, distributed processing takes more time than processing on a single node if is less than . We define the equation for validation as follows: where is the size of all data on the root node and is the network bandwidth.
3.3. Total Execution Time
The total execution time can be calculated for two different cases according to two time points: point , when a task is completed by the first node, and point , when data distribution is completed, as shown in Figures 3 and 4.
Figure 3 shows the first case with 4 processing nodes, in which is greater than . The total execution time with processing nodes () is the sum of the time taken to reach and the completion time data transmission returning to the root node from .
The second case is presented by Figure 4, which is when . In this case, the total execution time is the sum of the time taken to distribute data and return data from all nodes to the root node. The total execution time is not affected by the execution time () on the processing node because is sufficiently short to not affect the total execution time.
is the sum of propagation time () for chunk data and , and is times . From these, the criterion that identifies the two cases mentioned above was obtained as follows: Therefore, the total execution time () with processing nodes can be calculated as follows:
3.4. Optimal Number of Processing Nodes
We measured the execution time when adding processing nodes. From Figure 5, the distributed processing performance does not improve with the addition of processing nodes. The inclusion of additional sensor nodes to processing leads to the wastage of network resources. We define the optimal number of processing nodes as the point at which an increase in the number of nodes does not decrease the total execution time.
When in (5), is equivalent to the total time required to send and receive data. This transmission time is not affected by the number of processing nodes and is only affected by data size and bandwidth, which means that the total execution time does not decrease once satisfies the above condition. The optimal number of processing nodes is defined as
and depend on the number of nodes. We add the following terms to (6) to eliminate this dependency: where, : time taken by a node for data processing, : total data size, : split data size for nodes (), and : network bandwidth.
Consequently, the optimal number of processing nodes can be estimated as
3.5. Implementation Issues
To apply the proposed execution estimation model to design a software system for a wireless sensor network, the following issues should be considered.
3.5.1. Premeasuring and
The proposed method is based on data transmission time and execution time on a single node. These values are dependent on the data size and network bandwidth. If the data size is fixed, it can be assumed that is also a fixed value and has been measured before. The network bandwidth is specified by the network type, such as IEEE 802.15.4. However, the real network bandwidth necessary to send data varies with the specification according to packet size or protocol, so we suggest measuring the transmission rate in real time.
3.5.2. Estimation
In (7), we assume that quals . This means that is proportional to . Nevertheless, the relationship between and can vary according to the task.
4. Experimental Environment
We measured transmission rates with the same packet size and protocol before evaluating the accuracy of our proposed model. Then, we calculated the total execution time and the optimal cluster size with the measured transmission rate and the data size. We compared the calculated results and the measured data via experiments. The experiments were conducted with TinyOS 2.x and a MICAz mote of UC Berkeley [10, 11].
4.1. Transmission Rates
The transmission rates are needed for our proposed equations. We measured the transmission time for the various data sizes. Figure 6 presents the sequence by which the application sends data and how to measure the transmission time. TinyOS is an event-driven operating system. When the application tries to send data, the scheduler returns the status immediately and signals the SendDone events after finishing transmission. Our implementation sends data in the SendDone event handler in divided packets repeatedly.
The base station sets the timestamp after sending a command to the node implemented for the transmission task. Then, the base station calculates transmission rates after receiving all packets.
The measured transmission rates are presented in Table 1. In our other experiments, we used the measured average value of transmission rates as the network bandwidth.
4.2. Validation
We propose a validation method to identify whether the total execution time of the distributed processing is shorter than that for processing on a single node. System designers could use the proposed method to check distributed performance with their own parameters. This experiment was conducted with a fixed data size (?kB) and a varying and number of nodes.
Figure 7 shows the measured execution time, and the details are presented in Table 2. Some results were even worse than because of the transmission time. From the table, a gain in execution time was not found when is 5 seconds and 10 seconds. The performance of the 5-second case was twice as bad as that for single node processing. In the case of 15 seconds, the execution time was approximately 16 seconds with 2 nodes but under the after 3 nodes. The cases of 20 seconds and 25 seconds showed a similar pattern to that of the case of 15 seconds.
is 10.99 seconds according to (3) and the measured transmission rates in the previous chapter. As we discussed in Section 3.4, no continuous processing performance improvement was found by the addition of processing nodes. Consequently, we were able to obtain conclusions that the execution time could not be shorter than in any case and whether there would be a gain in execution time or not can be investigated as previously shown.
4.3. The Optimal Number of Processing Nodes
The optimal number of processing nodes was defined as the point after which there was no performance improvement in execution time. Figures 8 and 9 represent the measured total execution time and optimal number of nodes for each case. The optimal point is calculated via our proposed model.
The first experiment was conducted with fixed as 30?s and various numbers of nodes and data sizes. The figure shows the optimal points plotted at a reasonable number of processing nodes for each case. In other words, performance improvements in time were not found after the optimal point. Figure 9 also shows that the optimal points are acceptable, which was conducted under the fixed data size and the various numbers of nodes and .
4.4. Execution Time Estimation
We measured the total execution time by varying the number of processing nodes. Figure 10 shows the measurements and the calculated based on the proposed model. The average error was found to be as small as 0.36 seconds.
No other tasks were included in the experiments, so the results have negligible error. For practical applications, the network status and other tasks should be considered.
5. Case Study: 2D FFT
The fast Fourier transform (FFT) is widely utilized for signal processing applications such as structural health monitoring and multimedia processing. We implemented a distributed 2D-FFT application and evaluated our model for this application. Data sizes of and and 2, 4, 8, 16, and 32 processing nodes were used. The root node distributes data and then the processing nodes execute a 1D-FFT. After returning all data, the root node transposes the matrix and repeats scattering and gathering.
As we discussed in Section 3.5, , the data transmission rates, and the relationship between and should be investigated in our model. We used the same data transmission rates as in Section 4. was measured from a single node implementation. A 2D-FFT with an matrix is composed of an -point FFT, a transpose, and another -point FFT. We defined the unit of the task as an -point FFT. Therefore, the relationship between and satisfies "."
The total execution time for a matrix was approximately 13 seconds on a single node. We measured the total execution time, varying the number of processing nodes from 2 to 32 for the same data. Figure 11 shows the measured and estimated total execution time for data. The execution time for transposing was ignored. was doubled because the number of rows and columns is identical, and the scattering and gathering were performed twice.
In this case, the optimal number of processing nodes is estimated to be 13 via (8), and is 1.92 seconds via (3). The optimal number of nodes, however, could be regarded as 16 nodes because the number of nodes in this application increases in two square steps. This means that the total execution time would not decrease if the number of nodes exceeded the optimal number of nodes.
From the results, the average error was found to be 1.2 seconds, and the trends in the total execution time bear a strong resemblance. At 16 processing nodes, the total execution time was the minimum for both the measured and estimated cases.
Figure 12 presents the results for a matrix. The average error was 2.9 seconds, and the optimal number of nodes is 16. At times, the uncertainty increased because of the significantly larger data size, which increased the average error.
6. Conclusions
Wireless sensor networks provide an environment for distributed processing. The limited resources of the sensor nodes create a difficulty in designing a distributed system. For this reason, we have studied a distributed processing model in wireless sensor networks.
In this paper, we proposed a distributed processing model in wireless sensor networks. The methods to estimate the total execution time, validate distributed processing in terms of the execution time, and calculate the optimal number of processing nodes for distributed processing in wireless sensor networks were described.
We demonstrated the accuracy of the proposed model through experiments. First, the transmission rate was measured and was then used for the other experiments. Next, validation in terms of time was demonstrated. Through the validation equation, a system designer can decide whether distributed processing is needed or not. The experiments to confirm the optimal number of nodes were carried out with various options. The estimated optimal numbers of nodes were indicated with high accuracy. In the experiments for execution time estimation, the average error of the model was found to be as small as 0.36 seconds.
We implemented a 2D-FFT application and demonstrated that our model can be used for the application in the case study. The experiments had more errors than previous experiments because the proposed model does not consider other tasks on the node, and the real transmission rates are not identical all the time.
In our future research, the cost analysis in time and energy between centralized system and our proposed cooperative processing model will be performed. Furthermore, we will study the distributed processing model for multihop clusters and perform more experiments for other applications to improve the model.
This research was supported by the Ministry of Science, ICT & Future Planning (MSIP), Republic of Korea, under the Convergence Information Technology Research Center (C-ITRC) support program (NIPA-2013-H0401-13-1002) supervised by the National IT Industry Promotion Agency (NIPA).
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- W. Li, J. Bao, and W. Shen, "Collaborative wireless sensor networks: a survey," in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC '11), pp. 2614–2619, Anchorage, Alaska, USA, October 2011. View at Publisher · View at Google Scholar · View at Scopus
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- N. Vlajic and D. Xia, "Wireless sensor networks: to cluster or not to cluster?" in Proceedings of the International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM '06), pp. 258–266, Buffalo-Niagara Falls, NY, USA, June 2006. View at Publisher · View at Google Scholar · View at Scopus
- http://tinyos.net/.
- Crossbow Technology Inc., Micaz.


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Boxing: The top Ten Paper Title winner
As the year comes to an end boxing fans have witnessed great fights, horrible fight judging, new comers, old lions show that they can still put on a show, but sadly we also have witnessed how the Paper Title Champions are quickly becoming a solid trend in pro boxing.
The belt collectors have been aided by the greedy promoters to achieve world championships but they just cannot fool Boxing fans who know very well what a real boxing world champion is and what exactly a paper title champion is.
The current Top Ten Paper Title Champions are:
1. I'll let the reader pick the undisputed top pound for pound number one paper title champion of the world.
2. Marcos Maidana defended his title against a low ranked and unknown fighter.
3. Julio Cesar Chavez Jr., drops two places; looked in great shape and defeated Sergio Mora by KO5 in his title defense.
4. Erik Morales aims to engage against Antonio De Marco for another manufactured belt next year.
5. Alexander Povetkin will defend his belt against low ranked Cedric Boswell tomorrow at the Hartwall Arena, Helsinki, Finland.
6. Andre Berto scheduled to fight against Victor Ortiz on February 11th.
7. Vyacheslav Senchenko one title fight in 2010 and another in 2011 against poor opposition.
8. Saul Alvarez defeated former welter champion Kermit Cintron but keeps on avoiding top contenders.
9. Austin Trout defeated unknown and low ranked Frank LoPorto by KO6 (November 11) in a title match.
10. Cornelious Bundrage has not defended his belt since May 25th but still has not been stripped of it.
Ladies and gentleman, boxing fans around the world, as an old song said you aint seen nothing yet, the best fights are yet to be seen next year. Happy Holidays to the readers.


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Practice marathon
Saturday, January 28, 2012
On February 19th I'm walking in the Austin Marathon with a friend, Stephen. He's the one on the left in the picture below. Andy is the one on the right. Andy is just a little bit taller than I am (maybe an inch or two depending on what shoes we are wearing!).
Stephen is one of they guys I play tennis with on Thursdays. He's a "funny" guy. He's very athletic but seem clump /clumsy sometimes. Some matches he plays great and other times, if you didn't know him, you'd wonder if he just started playing. VERY intellegent, very social but seems shy at the same time. Great guy all around... Any way. Since we've only played tennis I don't know what to expect from participating in this marathon with him. I know he's done them (running) in the past but has some kind of injury or something that is preventing him this time. He said he is definitely "walking" this one. But I'm sure his "walking" is faster than I can go so I'm expecting to be jogging most of it.
Today I'm seeing how far I can go and how long it takes me.
My first leg will be to go to Planet fitness and back (about 6 miles I think).
My second leg will be to go zig zag through the streets on the area neighborhoods for a couple hours.
Update #1:
I've accomplished the first leg. Did much better than I thought I could.
I use an iphone app called Endomondo. It tracks all kinds data and sends it to their website for easy viewing. I went 5.36 miles in one hour twelve minutes. average speed 3.96 MPH! max speed 6.35mph it estimated I burned 505 calories but my HRM gave me 733. (note found my info not in there it had me at 336 lbs and two feet tall!!)
Lap times:
1st mile 16:56 (slowest mile)
2nd mile 13:43 (fastest mile) mostly down hill or level
3rd mile 14:16
4th mile 15:13
5th mile 14:45
Here are some screen shots from what I can see about my workout on Endomondo.
On the map below it shows you were when you reach each Mile. The blue line is your route you took.
It also shows in a graph an overlay of how fast you go (lime green line) and the elevation (gray part). I found it was easier to run up the hills as far as I could rather than walk them! I also ran the down hill parts. I'd run and walk the flat parts, running as much as I could.
I love data, analyzing information, playing with numbers. Maybe that's why I'm in accounting!!
I think tomorrow I'll go out again and do the zig zag part and enjoy my victory today.
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1610 days ago
Comment edited on: 1/30/2012 2:24:42 PM
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Holy Cow!!! An Iphone app can give you all that info. Amazing! I think I need to upgrade. Great job on your mileage and times.
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Great job!
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Artist: She & Him
Album: A Very She And Him Christmas
Genre: Rock
City sidewalks busy sidewalks
Dressed in holiday style
In the air there's a feeling of Christmas
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Meeting smile after smile
And on every street corner you'll hear
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It's Christmas time in the city
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And above all this bustle you'll hear
Silver bells, silver bells
It's Christmas time in the city
Ring-a-ling, hear them sing
Soon it will be Christmas day
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