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Kategorie szczegółowe BISAC

Dataflow Processing: Volume 96

ISBN-13: 9780128021347 / Angielski / Twarda / 2015 / 266 str.

Ali Hurson
Dataflow Processing: Volume 96 Namasudra, Suyel 9780128021347 Academic Press - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Dataflow Processing: Volume 96

ISBN-13: 9780128021347 / Angielski / Twarda / 2015 / 266 str.

Ali Hurson
cena 610,83
(netto: 581,74 VAT:  5%)

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Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field.

  • In-depth surveys and tutorials on new computer technology
  • Well-known authors and researchers in the field
  • Extensive bibliographies with most chapters
  • Many of the volumes are devoted to single themes or subfields of computer science

Kategorie:
Inne
Kategorie BISAC:
Computers > Software Development & Engineering - General
Mathematics > Matematyka
Computers > Computer Science
Wydawca:
Academic Press
Język:
Angielski
ISBN-13:
9780128021347
Rok wydania:
2015
Ilość stron:
266
Waga:
0.59 kg
Wymiary:
23.11 x 15.49 x 1.78
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

"Mandatory for academic libraries supporting computer science departments." --Choice

1. An Overview of Selected Heterogeneous and Reconfigurable Architectures Sasa Stojanovic, Dragan Bojic and Miroslav Bojovic 2. Concurrency, Synchronization, Speculation-the Dataflow Way Krishna Kavi,Charles Shelor and Domenico Pace 3. Dataflow Computing in Extreme Performance Conditions Diego Oriato, Stephen Girdlestone and Oskar Mencer 4. Sorting Networks on Maxeler Dataflow Supercomputing Systems Anton Kos, Vukasin Rankovic, and Saso Tomazic 5. Dual Data Cache Systems: Architecture and Analysis Zivojin Sustran, Goran Rakocevic, and Veljko Milutinovic

Dr. Suyel Namasudra is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India, and a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. He has received Ph.D. degree in Computer Science and Engineering from the National Institute of Technology Silchar, Assam, India. His research interests include blockchain technology, cloud computing, IoT, and DNA computing. Dr. Namasudra has edited 4 books, 5 patents, and 60 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, ACM TOMM, ACM TALLIP, FGCS, CAEE, and many more. He has served as a Lead Guest Editor/Guest Editor in many reputed journals like ACM TOMM (ACM, IF: 3.144), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. Dr. Namasudra has participated in many international conferences as an Organizer and Session Chair. He is a member of IEEE, ACM, and IEI. Dr. Namasudra has been featured in the list of the top 2% scientists in the world in 2021 and 2022, and his h-index is 25. Prof. Veljko Milutinovic received his PhD from the University of Belgrade, spent about a decade on various faculty positions in the USA (mostly at Purdue University), and was a co-designer of the DARPA's first GaAs RISC microprocessor. Later he taught and conducted research at the University of Belgrade, Serbia, in ECE and MATH. Now he serves as the Senior Advisor to Maxeler Technologies in London, UK. His research is mostly in datamining and dataflow computing, with the emphasis on mappings of algorithms onto architectures. His co-authored paper on matrix multiplication for dataflow received "The IET Premium Award for 2014" (meaning the single best paper in IET Computing for 2012 and 2013). He is a Fellow of the IEEE and a Member of Academia Europaea. He has over 40 IEEE journal papers, over 40 other SCI journal papers, over 400 Thomson-Reuters citations, and about 4000 Google Scholar citations.



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