Handbook of Research on Methodologies and Applications of Supercomputing (Advances in Systems Analysis, Software Engineering, and High Performance Computing)
Language: English
Published by Engineering Science Reference, 2021
- Hardcover
- New
Seller: California Books, Miami, FL, U.S.A.California Books
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- Title
- Handbook of Research on Methodologies and Applications of Supercomputing (Advances in Systems Analysis, Software Engineering, and High Performance Computing)
- Publisher
- Engineering Science Reference
- Publication year
- 2021
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1799871568
- ISBN 13
- 9781799871569
The Handbook of Research on Methodologies and Applications of Supercomputing is a comprehensive and critical reference book that provides research on the latest advances of control flow and dataflow supercomputing and highlights selected emerging big data applications needing high acceleration and/or low power. Consequently, this book advocates the need for hybrid computing, where the control flow part represents the host architecture and dataflow part represents the acceleration architecture. These issues cover the initial eight chapters. The remaining eight chapters cover selected modern applications that are best implemented on a hybrid computer, in which the transactional parts (serial code) are implemented on the control flow part and the loops (parallel code) on the dataflow part. These final eight chapters cover two major application domains: scientific computing and computing for digital economy. This book offers applications in marketing, medicine, energy systems, and library science, among others, and is an essential source for scientists, programmers, engineers, practitioners, researchers, academicians, and students interested in the latest findings and advancements in supercomputing.
"Synopsis" may belong to another edition of this title.
About the Author
Miloš Kotlar received his B.Sc. (2016) and M.Sc. (2017) degrees in Electrical and Computer Engineering from the University of Belgrade, School of Electrical Engineering, Serbia. He is a Ph.D. candidate at the School of Electrical Engineering, University of Belgrade. His general research interests include implementation of energy efficient tensor implementations using the dataflow paradigm (FPGA and ASIC accelerators) and meta learning approaches for anomaly detection tasks.
"About the title" may belong to another edition of this title.
California Books
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