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
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"Mandatory for academic libraries supporting computer science departments." --Choice
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Advances in Computers offers detailed coverage of innovations in computer hardware, software, theory, design, and applications
| Preface |
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vii | |
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1 An Overview of Selected Heterogeneous and Reconfigurable Architectures |
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1 | (46) |
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3 | (1) |
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4 | (1) |
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3 Existing Solutions and Their Criticism |
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5 | (23) |
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4 Summary of Presented Solutions |
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28 | (7) |
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5 Performance Comparison of Presented Solutions |
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35 | (5) |
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40 | (7) |
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41 | (1) |
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42 | (2) |
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44 | (3) |
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2 Concurrency, Synchronization, and Speculation---The Dataflow Way |
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47 | (58) |
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49 | (1) |
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50 | (6) |
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56 | (9) |
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4 Historical Dataflow Architectures |
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65 | (12) |
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5 Recent Dataflow Architectures |
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77 | (12) |
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6 Case Study: Scheduled Dataflow |
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89 | (10) |
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99 | (6) |
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101 | (2) |
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103 | (2) |
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3 Dataflow Computing in Extreme Performance Conditions |
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105 | (34) |
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106 | (2) |
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108 | (2) |
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3 Maxeler Multiscale DFEs |
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110 | (2) |
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112 | (2) |
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5 Programming with MaxCompiler |
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114 | (5) |
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119 | (4) |
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7 Case Study: Meteorological Limited-Area Model |
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123 | (12) |
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135 | (4) |
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136 | (1) |
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136 | (3) |
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4 Sorting Networks on Maxeler Dataflow Supercomputing Systems |
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139 | (48) |
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140 | (1) |
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141 | (2) |
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143 | (7) |
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150 | (13) |
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163 | (6) |
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6 Setting Up the Experiment |
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169 | (2) |
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171 | (12) |
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183 | (4) |
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184 | (1) |
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185 | (2) |
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5 Dual Data Cache Systems: Architecture and Analysis |
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187 | (48) |
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188 | (2) |
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2 A DDC Systems Classification Proposal |
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190 | (1) |
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191 | (24) |
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4 Conclusion of the Survey Part |
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215 | (2) |
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5 Problem Statement for the Analysis |
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217 | (1) |
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6 Critical Analysis of Existing Solutions |
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217 | (1) |
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218 | (3) |
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221 | (3) |
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9 Modified STS in a Multicore System |
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224 | (1) |
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10 Conditions and Assumptions of the Analysis Below |
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224 | (1) |
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225 | (5) |
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12 Conclusions of the Analysis Part |
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230 | (1) |
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13 The Table of Abbreviations |
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230 | (5) |
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232 | (1) |
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232 | (1) |
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233 | (2) |
| Author Index |
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235 | (6) |
| Subject Index |
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241 | (6) |
| Contents of Volumes in this Series |
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247 | |
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.
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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