SHF: Small: Computer Aided Design Methodologies and Tools for Superconducting Single Flux Quantum Technology
SHF: Small: Computer Aided Design Methodologies and Tools for Superconducting Single Flux Quantum Technology
批准号:
1619473
负责人:
Massoud Pedram
金额:
$45.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-06-15 至 2020-05-31
中文摘要
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英文摘要
Advances in "beyond-CMOS" device technologies and corresponding logic families are now seen as a key step towards achieving the next major leap in high-performance computing. The research challenges and opportunities described in this research provide directions for developing many aspects of a very promising "beyond-CMOS" technology, which can result in extremely high performance, yet energy-efficient, computing system, and thereby, ensure sustainability of the information technology ecosystem. Education, Outreach, and Training Programs include development of new educational modules; recruitment of minority and under-represented students; as well as undergraduate learning and research internship opportunities for undergraduates.The technical goal of this project is to investigate the state-of-the-art in design and optimization of superconducting DC-powered single flux quantum (SFQ) logic circuits and draw up a comprehensive research plan for developing a standard cell-based design methodology and supporting computer-aided design tools for the SFQ logic at the register-transfer-level. In the process, this project will analyze similarities and differences between the SFQ logic and standard digital CMOS logic fabrics, investigate various problems related to the synthesis, optimization and physical design of SFQ logic gates and circuits, and finally produce a number of computer-aided design techniques and prototype software tools for proof-of-concept demonstrations, including a standard cell characterization tool, a static timing and power analysis tool, a frontend logic synthesis, and a backend placement and clock network design tool. In short, this research aims to achieve major strides in the development of advanced design automation technologies in support of large-scale superconductive SFQ digital electronics to meet the needs of future energy-efficient, high-performance exa-scale computing systems.
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