WAPCO 2023: Workshop on APproximate COmputing HiPEAC 2023 Toulouse, France, January 16, 2023 |
Conference website | https://www.hipeac.net/2023/toulouse/#/program/sessions/8045/ |
Submission link | https://easychair.org/conferences/?conf=wapco2023 |
Research in the last few years has focused on approximate computing as a means to overcome the energy scaling barriers of computer systems and the worsened reliability issues of the underlying hardware. The new paradigm attempts to utilize the inherent error resilience of key algorithms in many application domains such as signal processing, multimedia, data analytics and computational engineering, among others for relaxing the strict performance constraints and allowing the use of less power hungry architectures and error-resilient computing schemes.
Rather than focusing on a single layer, designing such systems in a general-purpose and application specific computing environment requires a holistic view of all layers from algorithms, programming models, system software, and hardware down to the transistor level. This workshop is an inter-disciplinary effort to bring together researchers to discuss challenges, risks and opportunities of approximate computing in all design layers and various application domains.
Submission Guidelines
You are invited to submit short papers up to 2 pages (double column) in pdf format and present them in the workshop. The submitted papers must use the formatting templates of IEEE Computer Society. Papers will be published online but not in formal proceedings, thus submitting to WAPCO will not preclude future publication opportunities.
Topics include but are not limited to the following:
- Formal and mathematical methods for approximate computing
- Programming languages and models for approximate computing
- Compiler and system software support for approximate computing
- Hardware support for approximate computing
- Hardware-software interaction for approximate computing
- Applications that can benefit from approximate computing
- Security in approximate computing
- Simulation and modeling techniques for approximate computing
- Position papers on the potential and limitations of approximate computing
Organizing Committee
- Georgios Karakonstantis, Queen's University Belfast, UK
- Jari Nurmi, Tampere University, Finland
- Alberto Bossio, INL – Ecole Centrale de Lyon, France
- Stefano Di Carlo, Politecnico di Torino, Italy