Special Issue "Approximate Computing: Design, Acceleration, Validation and Testing of Circuits, Architectures and Algorithms in Future Systems"
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 20796
Interests: approximate computing; reliability assessment; software-based self-test; statistical models
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In recent years, the applicability of approximate computing has represented a breakthrough in many scientific areas, making AC a step closer to being one of the mainstream computing approaches in future systems. First, it is becoming more and more difficult to achieve significant performance improvement with the scaling of CMOS technology. Second, modern architectures vary from HPC to embedded systems (e.g., IoT, autonomous driving, etc.), making room for the need for a trade-off between efficiency, in terms of memory and performance resources, and power consumption, and the quality of the final outcomes. In this sense, for several application domains, especially those related to human perception, the approximate results might turn out to be hard to distinguish from perfect results, opening the application of AC for system designers.
Suitable solutions will not be fully realized in a single layer only. Therefore, applying AC in different layers of hardware, architecture, software and algorithms should be investigated. Moreover, while the hidden cost of AC is a reduction of an application’s inherent resiliency to errors, AC has also recently been demonstrated to be effective in safety-critical applications.
This Special Issue on AC will explore exciting, new ideas in the field of approximate computing, covering cross-layer design methodologies bridging the circuit, architecture and algorithm levels. It will also include connections between the AC paradigm and the safety, verification, testing and reliability of digital systems.
Topics for this Special Issue include (but are not limited to):
- Analog and circuit-level approximation techniques
- Approximation-induced error modeling and propagation
- Approximation techniques for emerging processor and memory technologies
- Architectural support for AC
- Dependability of approximate circuits and systems
- Design automation of AC architectures
- Design of reconfigurable AC architectures
- Error-resilient near-threshold computing
- Hardware accelerators for approximation-tolerant application domains
- Hardware/software co-design of AC systems
- Language, compiler, and operating system support for approximate architectures
- Safety and reliability applications of approximate computing
- Techniques for monitoring and controlling approximation quality
- Test and fault tolerance of approximate systems
- Verification of approximate systems
Dr. Alessandro Savino
Manuscript Submission Information
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- Approximate Computing
- Reconfigurable Systems
- Hardware Accelerators
- Safety-Critical Applications
- Reliability Assessment
- Fault Tolerance