More details on the workshop here!
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 reliability constraints and allowing the use of less power hungry architectures and adequately-reliable computing schemes.
Rather than focusing on a single layer, designing such systems in a general-purpose 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.
The workshop will host invited talks and short peer reviewed papers. 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