AxC22

Approximate Computing leverages the intrinsic error resilience of applications to inaccuracy in their inner calculations, in order to achieve a required trade-off between efficiency, in terms of performance and power demanding, and acceptable error of returned results.  In particular, for audio, image and video processing, data mining and information retrieval, approximate results turn out hard to distinguish from perfect ones.  In recent years, Approximate Computing applicability is broadening and it has been representing a breakthrough in many scientific areas.  Suitable solutions come from approximate arithmetic operators, implemented both at hardware and software level, but from unreliable memory architectures, integrated circuit test, compilers and many others.

This year’s (in person) event will be in conjunction with

Design Automation Conference (DAC59)

• Submission deadline : May 7^th  May 20^th 2022
• Notification of acceptance: May 14^thJune 1^st, 2022

The Workshop accepts Extended Abstract submissions (of at most two pages). Each submission has to be in a standard IEEE format.

Submit your paper on:

Alexandra Kourfali - Stuttgart University (DE)
Alessandro Savino – Politecnico di Torino (IT)
Benjamin Carrion Schaefer -  University of Texas at Dallas (USA)

Alexandra Kourfali

Alessandro Savino

Benjamin Carrion Schaefer