Approximate Computing exploits the inherent error resilience of many applications to optimize power consumption, run time, and/or chip area. In particular in audio, image and video processing, but also in data mining or resource allocation tasks, approximate results are "good enough" and hard to distinguish from perfect results. In the past few years, approximate computing has been addressed from various directions. Promising solutions range from approximate arithmetic units over dedicated micro-architectures to special language constructs and compilers. The goal of the workshop is to provide an interdisclinary forum for presenting and discussing scientific results, emerging ideas, applications, hot topics and new trends in the area of Approximate Computing.
The workshop features oral presentations and posters (including a short introduction).
The workshop provides a forum for discussion in an informal atmosphere. The workshop handouts will be distributed on a USB stick.
Associated with the workshop, a special issue in a journal is planned.
Please submit a an extended abstract (max. 2 pages) describing your contribution here via the EasyChair submission page.