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Advances in computers 2014/ Edited by Atif Memon

Contributor(s): Memon, Atif edMaterial type: Text

TextPublication details: Amsterdam : Academic Press, 2014Description: v. 93 (331p.) ill. ; 25cmISBN: 0128001623Subject(s): Electronic data processing | ComputersDDC classification: 004

Contents:

DARPA's HPCS Program: History, Models, Tools, Languages Jack Dongarra Robert Graybill William Harrod Robert Lucas Ewing Lusk Piotr Luszczek Janice McMahon Allan Snavely Jeffrey Vetter Katherine Yelick Sadaf Alam Roy Campbell Laura Carrington Tzu-Yi Chen Omid Khalili Jeremy Meredith Mustafa Tikir Historical Background 3 Productivity Systems Modeling 19 Productivity Evaluation on Emerging Architectures 37 The DARPA HPCS Language Project 58 Research on Defining and Measuring Productivity 69 The HPC Challenge Benchmark Suite 86 Summary: The DARPA HPCS Program 95 References 96 Productivity in High-Performance Computing Thomas Sterling Chirag Dekate Introduction 102 A General Formulation 105 Factors Determining HPC Productivity 107 A Special Theory of Productivity 121 A User-based Model of Productivity 124 Software Development & Productivity 129 Related Works 131 Conclusions 133 References 134 Performance Prediction and Ranking of Supercomputers Tzu-Yi Chen Omid Khalili Roy L. Campbell, Jr. Laura Carrington Mustafa M. Tikir Allan Snavely Introduction 137 Methods for Predicting Performance 139 A Method for Weighting Benchmarks 143 Examples 148 Using End-to-End Runtimes 152 Using Basic Trace Data 160 Application-Independent Rankings 163 Conclusion 168 Acknowledgments 169 References 170 Sampled Processor Simulation: A Survey Lieven Eeckhout Introduction 174 Trace-Driven versus Execution-Driven Simulation 176 Sampled Simulation 178 Simulation Speed 180 Representative Sampling Units 182 Architecture State 190 Microarchitecture State 195 Case Studies 214 Summary 217 Acknowledgments 217 References 217 Distributed Sparse Matrices for Very High Level Languages John R. Gilbert Steve Reinhardt Viral B. Shah Introduction 226 Sparse Matrices: A User's View 227 Data Structures and Storage 228 Operations on Distributed Sparse Matrices 230 SSCA #2 Graph Analysis Benchmark 239 Looking Forward: A Next-Generation Parallel Sparse Library 248 Conclusion 250 References 251 Bibliographic Snapshots of High-Performance/High-Productivity Computing Myron Ginsberg Introduction 255 Computational Environments in Government, Academia and Industry 257 References 259 Computational Science Education (CSE) 260 References 263 Supercomputing Architecture 264 References 265 Some HPC Issues 271 References 272 Benchmarking Issues and Concerns 275 References 281 Acceleration Techniques for HPC Applications 286 References 287 The Race for Petaflop Computing 292 References 300 Influences of Floating-Point Arithmetic on Computational Results 303 References 304 Industrial HPC Progress 305 References 311 Access to On-Demand HPC 314 References 315 A Few HPC Videos 315

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	004 MEM/A (Browse shelf(Opens below))	Available		P40380

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Includes references and index.

DARPA's HPCS Program: History, Models, Tools, Languages Jack Dongarra Robert Graybill William Harrod Robert Lucas Ewing Lusk Piotr Luszczek Janice McMahon Allan Snavely Jeffrey Vetter Katherine Yelick Sadaf Alam Roy Campbell Laura Carrington Tzu-Yi Chen Omid Khalili Jeremy Meredith Mustafa Tikir
Historical Background 3
Productivity Systems Modeling 19
Productivity Evaluation on Emerging Architectures 37
The DARPA HPCS Language Project 58
Research on Defining and Measuring Productivity 69
The HPC Challenge Benchmark Suite 86
Summary: The DARPA HPCS Program 95
References 96
Productivity in High-Performance Computing Thomas Sterling Chirag Dekate
Introduction 102
A General Formulation 105
Factors Determining HPC Productivity 107
A Special Theory of Productivity 121
A User-based Model of Productivity 124
Software Development & Productivity 129
Related Works 131
Conclusions 133
References 134
Performance Prediction and Ranking of Supercomputers Tzu-Yi Chen Omid Khalili Roy L. Campbell, Jr. Laura Carrington Mustafa M. Tikir Allan Snavely
Introduction 137
Methods for Predicting Performance 139
A Method for Weighting Benchmarks 143
Examples 148
Using End-to-End Runtimes 152
Using Basic Trace Data 160
Application-Independent Rankings 163
Conclusion 168
Acknowledgments 169
References 170
Sampled Processor Simulation: A Survey Lieven Eeckhout
Introduction 174
Trace-Driven versus Execution-Driven Simulation 176
Sampled Simulation 178
Simulation Speed 180
Representative Sampling Units 182
Architecture State 190
Microarchitecture State 195
Case Studies 214
Summary 217
Acknowledgments 217
References 217
Distributed Sparse Matrices for Very High Level Languages John R. Gilbert Steve Reinhardt Viral B. Shah
Introduction 226
Sparse Matrices: A User's View 227
Data Structures and Storage 228
Operations on Distributed Sparse Matrices 230
SSCA #2 Graph Analysis Benchmark 239
Looking Forward: A Next-Generation Parallel Sparse Library 248
Conclusion 250
References 251
Bibliographic Snapshots of High-Performance/High-Productivity Computing Myron Ginsberg
Introduction 255
Computational Environments in Government, Academia and Industry 257
References 259
Computational Science Education (CSE) 260
References 263
Supercomputing Architecture 264
References 265
Some HPC Issues 271
References 272
Benchmarking Issues and Concerns 275
References 281
Acceleration Techniques for HPC Applications 286
References 287
The Race for Petaflop Computing 292
References 300
Influences of Floating-Point Arithmetic on Computational Results 303
References 304
Industrial HPC Progress 305
References 311
Access to On-Demand HPC 314
References 315
A Few HPC Videos 315

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