Stochastic Computing: Techniques and Applications
Springer International Publishing (Verlag)
978-3-030-03729-1 (ISBN)
There are three main parts to this book. The first part, comprising Chapters 1 and 2, provides a history of the technical developments in stochastic computing and a tutorial overview of the field for both novice and seasoned stochastic computing researchers. In the second part, comprising Chapters 3 to 8, we review both well-established and emerging design approaches for stochastic computing systems, with a focus on accuracy, correlation, sequence generation, and synthesis. The last part, comprising Chapters 9 and 10, provides insights into applications in machine learning and error-control coding.
Warren J. Gross received the B.A.Sc. degree in electrical engineering from the University of Waterloo, Waterloo, ON, Canada, in 1996, and the M.A.Sc. and Ph.D. degrees from the University of Toronto, Toronto, ON, Canada, in 1999 and 2003, respectively. He is a Professor and Louis-Ho Faculty Scholar in Technological Innovation in the Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada. He currently serves as Chair of the Department. His research interests are in the design and implementation of signal processing systems and custom computer architectures. Dr. Gross served as the Chair for the IEEE Signal Processing Society Technical Committee on Design and Implementation of Signal Processing Systems. He served as the General Co-Chair for the IEEE GlobalSIP 2017 and the IEEE SiPS 2017 and the Technical Program Co-Chair for SiPS 2012. He also served as an Organizer for the Workshop on Polar Coding in Wireless Communications at WCNC 2018 and WCNC 2017, the Symposium on Data Flow Algorithms and Architecture for Signal Processing Systems (GlobalSIP 2014), and the IEEE ICC 2012 Workshop on Emerging Data Storage Technologies. He served as an Associate Editor for the IEEE Transactions on Signal Processing and as a Senior Area Editor. He is a Licensed Professional Engineer in the Province of Ontario.
Foreword: Gulak.- 1. Introduction to Stochastic Computing (Gaudet, Gross, Smith).- 2. Origins of Stochastic Computing (Gaines).- 3. Tutorial on Stochastic Computing (Winstead).- 4. Accuracy and Correlation in Stochastic Computing (Alaghi, Ting, Lee, Hayes).- 5. Synthesis of Polynomial Functions (Riedel, Qian).- 6. Deterministic Approaches to Bitstream Computing (Riedel).- 7. Generating Stochastic Bitstreams (Hsiao, Anderson, Hara-Azumi).- 8. RRAM Solutions for Stochastic Computing (Knag, Gaba, Lu, Zhang).- 9 Spintronic Solutions for Stochastic Computing (Jia, Wang, Huang, Zhang, Yang, Qu, et al.).- 10. Brain-inspired computing (Onizawa, Gross, Hanyu).- 11. Stochastic Decoding of Error-Correcting Codes (Leduc-Primeau, Hemati, Gaudet, Gross).
"The editors have done a good job in selecting and organizing the chapters to present a clear and convenient introduction to a computational approach that ... will be new and inspiring to many readers." (H. Van Dyke Parunak, Computing Reviews, October 04, 2019)
“The editors have done a good job in selecting and organizing the chapters to present a clear and convenient introduction to a computational approach that … will be new and inspiring to many readers.” (H. Van Dyke Parunak, Computing Reviews, October 04, 2019)
| Erscheinungsdatum | 07.03.2019 |
|---|---|
| Zusatzinfo | XVI, 215 p. 133 illus., 34 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 505 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Approximate computing • fault-tolerant computing • logic functions • Logic Gates • probabilistic computation • Randomized bit-streams • stochastic computing • Stochastic logic • VLSI • VLSI CAD |
| ISBN-10 | 3-030-03729-0 / 3030037290 |
| ISBN-13 | 978-3-030-03729-1 / 9783030037291 |
| Zustand | Neuware |
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