High-performance computing : paradigm and infrastructure / by Yang, Laurence Tianruo

Table of Contents: “…Cover HIGH-PERFORMANCE COMPUTING Contents Preface Contributors PART 1 Programming Model 1 ClusterGOP: A High-Level Programming Environment for Clusters 1.1 Introduction 1.2 GOP Model and ClusterGOP Architecture 1.3 VisualGOP 1.4 The ClusterGOP Library 1.5 MPMD programming Support 1.6 Programming Using ClusterGOP 1.7 Summary 2 The Challenge of Providing A High-Level Programming Model for High-Performance Computing 2.1 Introduction 2.2 HPC Architectures 2.3 HPC Programming Models: The First Generation 2.4 The Second Generation of HPC Programming Models 2.5 OpenMP for DMPs 2.6 Experiments with OpenMP on DMPs 2.7 Conclusions 3 SAT: Toward Structured Parallelism Using Skeletons 3.1 Introduction 3.2 SAT: A Methodology Outline 3.3 Skeletons and Collective Operations 3.4 Case Study: Maximum Segment SUM (MSS) 3.5 Performance Aspect in SAT 3.6 Conclusions and Related Work 4 Bulk-Synchronous Parallelism: An Emerging Paradigm of High-Performance Computing 4.1 The BSP Model 4.2 BSP Programming 4.3 Conclusions 5 Cilk Versus MPI: Comparing Two Parallel Programming Styles on Heterogeneous Systems 5.1 Introduction 5.2 Experiments 5.3 Results 5.4 Conclusion 6 Nested Parallelism and Pipelining in OpenMP 6.1 Introduction 6.2 OpenMP Extensions for Nested Parallelism 6.3 OpenMP Extensions For Thread Synchronization 6.4 Summary 7 OpenMP for Chip Multiprocessors 7.1 Introduction 7.2 3SoC Architecture Overview 7.3 The OpenMp Compiler/Translator 7.4 Extensions to OpenMP for DSEs 7.5 Optimization for OpenMP 7.6 Implementation 7.7 Performance Evaluation 7.8 Conclusions PART 2 Architectural and System Support 8 Compiler and Run-Time Parallelization Techniques for Scientific Computations on Distributed-Memory Parallel Computers 8.1 Introduction 8.2 Background Material 8.3 Compiling Regular Programs on DMPCs 8.4 Compiler and Run-Time Support for Irregular Programs 8.5 Library Support for Irregular Applications 8.6 Related Works 8.7 Concluding Remarks 9 Enabling Partial-Cache Line Prefetching through Data Compression 9.1 Introduction 9.2 Motivation of Partial Cache-Line Prefetching 9.3 Cache Design Details 9.4 Experimental Results 9.5 Related Work 9.6 Conclusion 10 MPI Atomicity and Concurrent Overlapping I/O 10.1 Introduction 10.2 Concurrent Overlapping I/O 10.3 Implementation Strategies 10.4 Experiment Results 10.5 Summary 11 Code Tiling: One Size Fits All 11.1 Introduction 11.2 Cache Model 11.3 Code Tiling 11.4 Data Tiling 11.5 Finding Optimal Tile Sizes 11.6 Experimental Results 11.7 Related Work 11.8 Conclusion 12 Data Conversion for Heterogeneous Migration/Checkpointing 12.1 Introduction 12.2 Migration and Checkpointing 12.3 Data Conversion 12.4 Coarse-Grain Tagged RMR in MigThread 12.5 Microbenchmarks and Experiments 12.6 Related Work 12.7 Conclusions and Future Work 13 Receiving-Message Prediction and Its Speculative Execution 13.1 Background 13.2 Receiving-Message Prediction Method 13.3 Implementation of the Method in the MIPI Libraries 13.4 Experimental Results 13.5 Conclusing Remarks 14 An Investigation of the Applicability of Distributed FPGAs to High-Performance Computing 14.1 Introduction 14.2 High Performance Computing with Cluster Computing 14.3 Reconfigurable Computing with EPGAs 14.4 DRMC: A Distributed Reconfigurable Metacomputer 14.5 Algorithms Suited to the Implementation on FPGAs/DRMC 14.6 Algorithms Not Suited to the Implementation on FPGAs/DRMC 14.7 Summary PART 3 Scheduling and Resource Management 15 Bandwidth-Aware Resource Allocation for Heterogeneous Computing Systems to Maximize Throughput 15.1 Introduction 15.2 Related Work 15.3 System Model and Problem Statement 15.4 Resource Allocation to Maximize System Throughput 15.5 Experimental Results 15.6 Conclusion 16 Scheduling Algorithms with Bus Bandwidth Considerations for SMPs 16.1 Intr.…”
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High Performance Computing by Severance, Charles, Dowd, Kevin

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High performance computing : technology, methods, and applications /

Subjects: “…High performance computing.…”
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High performance computing : modern systems and practices / by Sterling, Thomas, Anderson, Matthew, Brodowicz, Maciej

Subjects: “…High performance computing.…”
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High Performance Computing /

Subjects: “…High performance computing.…”
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High-performance computing : hearing before the Committee on Science, Subcommittee on Basic Research, U.S....

Subjects: “…High performance computing Research United States Finance.…”
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High-performance computing : hearing before the Subcommittee on Energy of the Committee on Energy and Natural Resources, United States Senate, One Hundred Eighth Congress, second session on S. 2176, the High-End Computing Revitalization Act of 2004, which would authorize the Secretary to carry out a program of R&D to advance high-end computing through the Office of Science, and to receive testimony regarding the Department of Energy's high-performance computing R&D activities in both the National Nuclear Security Administration and the Office of Science, June 22, 2004.

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High-performance computing : hearing before the Subcommittee on Technology, Innovation, and Competitiveness of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Ninth Congress, second session, July 19, 2006.

Subjects: “…High performance computing United States.…”
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High performance computing : hearing before the Subcommittee on Science, Research, and Technology of the Committee on Science, Space, and Technology, U.S....

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Contemporary high performance computing : from petascale toward exascale /

Subjects: “…High performance computing.…”
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Contemporary high performance computing : from petascale toward exascale.

Table of Contents: “…Terascale to petascale : the past 17 years in high performance computing / Jeffrey S. Vetter -- 2. ARCHER / Xu Guo, David Henty, Chris Johnson, Alan Simpson, Lorna Smith, and Andrew Turner -- 3. …”
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High-performance computing and concurrency : understanding hardware-software interactions and how to speed up your programs /

Subjects: “…High performance computing.…”
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High performance computing on complex environments / by Jeannot, Emmanuel

Table of Contents: “…Chapter 4: Parallel Algorithms for Parabolic Problems on Graphs in Neuroscience4.1 Introduction; 4.2 Formulation of the Discrete Model; 4.3 Parallel Algorithms; 4.4 Computational Results; 4.5 Conclusions; Acknowledgments; References; Part III: Communication and Storage Considerations in High-Performance Computing; Chapter 5: An Overview of Topology Mapping Algorithms and Techniques in High-Performance Computing; 5.1 Introduction; 5.2 General Overview; 5.3 Formalization of the Problem; 5.4 Algorithmic Strategies for Topology Mapping; 5.5 Mapping Enforcement Techniques; 5.6 Survey of Solutions.…”
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Hands-On High Performance with Spring 5 : Techniques for Scaling and Optimizing Spring and Spring Boot Applications. by Mehta, Chintan

Subjects: “…High performance computing.…”
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Mastering High Performance with Kotlin : Overcome Performance Difficulties in Kotlin with a Range of Exciting Techniques and Solutions. by Kucherenko, Igor

Subjects: “…High performance computing.…”
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Evaluating the impact of price-responsive load on power systems using integrated T&D simulation : preprint / by Himanshu, Jain

Subjects: “…High performance computing.…”
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Research and testing of power use of HPC workload of participant's HPC system.

Subjects: “…High performance computing.…”
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Research and testing of power use HPC workload of participant's HPC system : cooperative research and development, final report.

Subjects: “…High performance computing.…”
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Industrial applications of high performance computing : best global practices /

Subjects: “…High performance computing.…”
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The international journal of high performance computing applications.

“…International journal of high performance computing applications (Online)…”
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