Special Issue on Verification, Test and Reliability of Approximate Computing Circuits & Systems
摘要截稿:
全文截稿: 2018-09-20
影响因子: 1.535
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 4区
• 小类 : 工程:电子与电气 - 4区
• 小类 : 纳米科技 - 4区
• 小类 : 物理:应用 - 4区
Overview
Microelectronics Reliability seeks original manuscripts for a Special Issue on Verification, Test and Reliability of Approximate Computing Circuits & Systems scheduled to appear in an issue of 2019.
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 also from unreliable memory architectures, integrated circuit test, compilers and many others.
The aim of this special issue is the investigation of connections between AxC paradigm and the verification, the test and the reliability of digital circuits from two points of view:
- how the approximate computing paradigm impacts the design and manufacturing flow of integrated circuits;
- how the verification, testing and reliability disciplines can be exploited in the approximate computing paradigms.
Topics of the Special Issue include, but are not limited to:
- Modeling, specification and verification of approximate circuits and systems
- Dependability of approximate circuits and systems
- Approximation induced error modeling and propagation
- Applications and case studies
- Test and fault tolerance of approximate circuits and systems
- Error Resilient Near-Threshold Computing
- On-line test, monitoring and reconfiguration of approximate circuits and systems
- Software-based fault tolerant technique for approximate computing