multiplication of long Series returns garbled results
#### Code Sample, a copy-pastable example if possible

```
import numpy as np
import pandas as pd
num_tries = 1000
length = 100000
for i in range(num_tries):
    df = pd.DataFrame({"A" : 100000 * (200 + np.random.random(length)),
                       "B" : 100000 * (200 + np.random.random(length))})
    df['A*B'] = df.A * df.B
    if (df['A*B'] < 100).any():
        print "found the bug in iteration", i
```
#### Expected Output

Empty
#### Actual Output Example:

```
found the bug in iteration 7
found the bug in iteration 36
found the bug in iteration 103
found the bug in iteration 113
found the bug in iteration 120
....
```
#### Commentary

The output is different on each run.

The problem does not occur if we set `length = 10000`. Thus, the problem only occurs for long vectors.

The problem also does not occur if we cast the pandas column to numpy arrays. Thus, if we replace the multiplication line by
`df['A*B'] = np.array(df.A) * np.array(df.B)` then the problem does not occur

I suspect this is a CPU-related problem, and that some users will not be able to reproduce it. I'm running on a 64-bit Intel i7-3610QM. It is entirely possible that my CPU is malfunctioning, but it's still odd that the problem is so prevalent, and that it gets solved when using numpy multiplication instead of pandas multiplication.
#### more info

here is an example of the head of the data-frame from a buggy iteration:

```
                  A                B            A*B
0   20061284.685632  20098766.753960  6.698204e-316
1   20049742.754308  20038548.079325  8.741955e-316
2   20002832.802216  20045228.660298   2.000283e+07
3   20009535.502458  20098483.298851   2.000954e+07
4   20091479.138939  20031304.664403   2.009148e+07
5   20053896.596382  20014109.767089   2.005390e+07
6   20019252.981156  20074785.383487   2.001925e+07
7   20073563.758979  20007609.514515   2.007356e+07
8   20092312.956176  20007082.949870   2.009231e+07
9   20070058.044947  20049647.829544   2.007006e+07
10  20010300.783713  20011630.430404   2.001030e+07
```
#### output of `pd.show_versions()`

```
commit: None
python: 2.7.11.final.0
python-bits: 64
OS: Windows
OS-release: 8.1
machine: AMD64
processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None

pandas: 0.17.1
nose: 1.3.7
pip: 8.0.3
setuptools: 20.1.1
Cython: 0.23.2
numpy: 1.10.4
scipy: 0.17.0
statsmodels: 0.6.1
IPython: 4.0.1
sphinx: 1.2.3
patsy: 0.4.0
dateutil: 2.4.1
pytz: 2015.6
blosc: None
bottleneck: None
tables: 3.2.0
numexpr: 2.4.4
matplotlib: 1.4.3
openpyxl: 2.0.2
xlrd: 0.9.4
xlwt: 1.0.0
xlsxwriter: 0.7.3
lxml: 3.4.4
bs4: 4.3.2
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.8
pymysql: None
psycopg2: None
Jinja2: None

```
