DagRep.9.4.43.pdf
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Emerging Hardware Techniques and EDA Methodologies for Neuromorphic Computing (Dagstuhl Seminar 19152)
Authors and all authors of the abstracts in this report
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Issue:
Dagstuhl Reports, Volume 9, Issue 4
Volume: Dagstuhl Reports, Volume 9
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2019-09-30
Cite AsGet BibTex
Krishnendu Chakrabarty, Tsung-Yi Ho, Hai Li, and Ulf Schlichtmann. Emerging Hardware Techniques and EDA Methodologies for Neuromorphic Computing (Dagstuhl Seminar 19152). In Dagstuhl Reports, Volume 9, Issue 4, pp. 43-58, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/DagRep.9.4.43
https://doi.org/10.4230/DagRep.9.4.43
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19152 "Emerging Hardware Techniques and EDA Methodologies for Neuromorphic Computing," which was held during April 7–10, 2019 in Schloss Dagstuhl - Leibniz Center for Informatics. Though interdisciplinary considerations of issues from computer science in the domain of machine learning and large scale computing have already successfully been covered in a series of Dagstuhl seminars, this was the first time that Neuromorphic Computing was brought out as the focus.
During the seminar, many of the participants presented their current research on the traditional and emerging hardware techniques, design methodologies, electronic design automation techniques, and application of neuromorphic computing, including ongoing work and open problems. This report documents the abstracts or extended abstracts of the talks presented during the seminar, as well as summaries of the discussion sessions.
Keywords
- Neuromorphic computing; nanotechnology; hardware design; electronic design automation; reliability and robustness
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