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Kategorie szczegółowe BISAC

Stochastic Computing: Techniques and Applications

ISBN-13: 9783030037291 / Angielski / Twarda / 2019 / 215 str.

Warren J. Gross; Vincent C. Gaudet
Stochastic Computing: Techniques and Applications Warren J. Gross Vincent C. Gaudet 9783030037291 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Stochastic Computing: Techniques and Applications

ISBN-13: 9783030037291 / Angielski / Twarda / 2019 / 215 str.

Warren J. Gross; Vincent C. Gaudet
cena 342,95
(netto: 326,62 VAT:  5%)

Najniższa cena z 30 dni: 327,68
Termin realizacji zamówienia:
ok. 22 dni roboczych
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Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Electronics - Circuits - General
Computers > Logic Design
Mathematics > Prawdopodobieństwo i statystyka
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783030037291
Rok wydania:
2019
Wydanie:
2019
Ilość stron:
215
Waga:
0.50 kg
Wymiary:
23.39 x 15.6 x 1.42
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

"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)

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).

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.


Vincent Gaudet received the B.Sc. in Computer Engineering from the University of Manitoba in 1995, the M.A.Sc. from the University of Toronto in 1997, and the Ph.D. from the University of Toronto in 2003. Since 2010 he has been with the Department of Electrical and Computer Engineering at the University of Waterloo. He previously held appointments as a faculty member at the University of Alberta (2002-2010) and as a Research Associate at Télécom-Bretagne in Brest, France (2002). In 2008-2009 he was on sabbatical leave at Northeastern University in Boston, MA, and at Tohoku University in Sendai, Japan.

His research interests focus on energy-efficient microelectronic circuits for information processing, and more specifically, on high-performance circuits for graph-based decoding of error-control codes such as Turbo and Low-Density Parity-Check (LDPC) codes. He is also interested in stochastic computing and multiple-valued logic. He has taught several courses in analog and digital microelectronic circuit design, at the undergraduate and graduate levels, and previously served as the Associate Chair for Undergraduate Studies (2013-2016).

Prof. Gaudet is a Senior Member of the IEEE and is licensed as a Professional Engineer. He has served as Associate Editor for the IEEE Transactions on Circuits and Systems, Parts I and II, and is a Technical Editor for the IEEE International Solid-State Circuits Conference. He was previously Chair (2016-2017) of the IEEE Computer Society Technical Committee on Multiple-Valued Logic and is an elected member (2013-2018) of the IEEE Signal Processing Society Technical Committee on Design and Implementation of Signal-Processing Systems. He was the Program Chair for the 2012 IEEE International Symposium on Multiple-Valued Logic (ISMVL) in Victoria, BC, and General Chair of ISMVL 2015 in Waterloo. He was the recipient of the 2009 Petro Canada Young Innovator Award and the Fall 2015 EngSoc Teaching Excellence Award. He has been serving as Department Chair since July 2016.



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