7th Workshop on Approximate Computing

AxC22: 7th Workshop on Approximate Computing

July 10th 2022, San Francisco

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)




Important Dates

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

Paper Submission

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

Download CFP

Submit your paper on:

EasyChair Submission

Technical Program

Organizing Committee

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

Steering Committee

Jie Han U. Alberta (CA)
Sybille Hellebrand Paderborn U (DE)
Jörg Henkel KIT (DE)
Anand Raghunathan Purdue U (USA)
Kaushik Roy Purdue U (USA)
Adit Singh Auburn U (USA)
Hans-Joachim Wunderlich Stuttgart U (DE)
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