Dataflow Processing
- 1st Edition, Volume 96 - February 1, 2015
- Imprint: Academic Press
- Editors: Veljko Milutinovic, Suyel Namasudra
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 0 2 1 3 4 - 7
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 2 3 4 2 - 6
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… Read more
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Request a sales quoteSince 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
Researchers in high performance computer areas; hardware manufacturers; physics and scientific computation and computer science educational programs
Chapter One: An Overview of Selected Heterogeneous and Reconfigurable Architectures
- Abstract
- 1 Introduction
- 2 Problem Statement
- 3 Existing Solutions and Their Criticism
- 4 Summary of Presented Solutions
- 5 Performance Comparison of Presented Solutions
- 6 Conclusion
- Acknowledgments
Chapter Two: Concurrency, Synchronization, and Speculation—The Dataflow Way
- Abstract
- 1 Introduction
- 2 Dataflow Concepts
- 3 Dataflow Languages
- 4 Historical Dataflow Architectures
- 5 Recent Dataflow Architectures
- 6 Case Study: Scheduled Dataflow
- 7 Conclusions
Chapter Three: Dataflow Computing in Extreme Performance Conditions
- Abstract
- 1 Introduction
- 2 Dataflow Computing
- 3 Maxeler Multiscale DFEs
- 4 Development Process
- 5 Programming with MaxCompiler
- 6 Dataflow Clusters
- 7 Case Study: Meteorological Limited-Area Model
- 8 Conclusion
Chapter Four: Sorting Networks on Maxeler Dataflow Supercomputing Systems
- Abstract
- 1 Introduction
- 2 Motivation
- 3 Sorting Algorithms
- 4 Sorting Networks
- 5 Implementation
- 6 Setting Up the Experiment
- 7 Experimental Results
- 8 Conclusion
Chapter Five: Dual Data Cache Systems: Architecture and Analysis
- Abstract
- 1 Introduction
- 2 A DDC Systems Classification Proposal
- 3 Existing DDC Systems
- 4 Conclusion of the Survey Part
- 5 Problem Statement for the Analysis
- 6 Critical Analysis of Existing Solutions
- 7 Generalized Solution
- 8 Determining Locality
- 9 Modified STS in a Multicore System
- 10 Conditions and Assumptions of the Analysis Below
- 11 Simulation Strategy
- 12 Conclusions of the Analysis Part
- 13 The Table of Abbreviations
- Acknowledgments
- Edition: 1
- Volume: 96
- Published: February 1, 2015
- Imprint: Academic Press
- No. of pages: 266
- Language: English
- Hardback ISBN: 9780128021347
- eBook ISBN: 9780128023426
VM
Veljko Milutinovic
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.
Affiliations and expertise
University of Belgrade, Serbia; Member of Academia EuropaeaSN
Suyel Namasudra
Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as 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. His research interests include blockchain technology, cloud computing, DNA computing, and information security. Dr. Namasudra has edited 7 books, 5 patents, and 85 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE TCE, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. Dr. Namasudra has served as a Lead Guest Editor/Guest Editor in many reputed journals like IEEE TCE (IEEE, IF: 4.3), IEEE TBD (IEEE, IF: 7.2), ACM TOMM (ACM, IF: 3.144), MONET (Springer, IF: 3.426), 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. He has also participated in many international conferences as an organizer and session chair. Dr. Namasudra is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.
Affiliations and expertise
Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, IndiaRead Dataflow Processing on ScienceDirect