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" Tools for high performance computing 2017 : "
editors, Christoph Niethammer, Michael M. Resch, Wolfgang E. Nagel, Holger Brunst and Hartmut Mix.
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BL
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| Record Number
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860940
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| Main Entry
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International Workshop on Parallel Tools for High Performance Computing(11th :2017 :, Dresden, Germany)
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| Title & Author
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Tools for high performance computing 2017 : : proceedings of the 11th International Workshop on Parallel Tools for High Performance Computing, September 2017, Dresden, Germany /\ editors, Christoph Niethammer, Michael M. Resch, Wolfgang E. Nagel, Holger Brunst and Hartmut Mix.
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| Publication Statement
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Cham, Switzerland :: Springer,, 2019.
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, ©2019
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1 online resource :: color illustrations
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| ISBN
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3030119866
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: 3030119874
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: 3030119882
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: 3030119890
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: 9783030119867
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: 9783030119874
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: 9783030119881
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: 9783030119898
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9783030119867
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Intro; Preface; Contents; A Structured Approach to Performance Analysis; 1 Introduction; 2 Background; 2.1 The EU Centre of Excellence for Performance Optimization and Productivity (POP); 2.2 The BSC Tools; 2.3 Example Code: CheSS; 3 Structured Performance Analysis; 3.1 Measurement; 3.2 Overview and Focus of Analysis; 3.3 Performance Modeling; 3.4 Detailed Analysis; 3.5 Reporting; 4 Conclusions; References; Counter Inspection Toolkit: Making Sense Out of Hardware Performance Events; 1 Introduction; 2 Non-obvious Code Behavior; 3 Branch-Related Events; 3.1 Design Choices
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3.2 Controlling Branch Misprediction3.3 Event Categories; 3.4 Analysis of Benchmark Results; 4 Cache-Related Events; 4.1 Assisting Developers with Code Optimization; 5 Categorizing Events Automatically; 6 Related Work; 7 Conclusions; References; ASSIST: An FDO Source-to-Source Transformation Tool for HPC Applications; 1 Introduction; 2 Background and Goals; 3 Design and Implementation; 3.1 Overview; 3.2 Compiler Infrastructure; 3.3 Integration into MAQAO; 4 Supported Transformations; 4.1 Common Loop Transformations; 4.2 Constant Propagation and Local Dead Code Elimination; 4.3 Specialization
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4 Vectorization Assistance4.1 Metrics; 5 Measurement Work-Flow; 5.1 Multi Run; 5.2 Cube Tools; 6 Topology Visualization; 7 Conclusion; References; Towards Elastic Resource Management; 1 Introduction; 2 Theoretical Background on Multiprocessor Scheduling; 2.1 Problem Statement; 2.2 Computational Complexity; 2.3 Resource-Static Scheduling in Distributed Memory HPC Systems; 2.4 Modified Scheduling Problem for Resource-Elastic Execution; 3 Performance Monitoring Infrastructure; 3.1 Process-Local Pattern Detection and Performance Measurements; 3.2 Node-Local Reductions and Performance Data Updates
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4.4 Loop Count Transformation4.5 Block Vectorization Transformation; 5 Experiments; 6 Related Work; 7 Conclusion and Future Work; References; Unifying the Analysis of Performance Event Streams at the Consumer Interface Level; 1 Introduction; 2 Components in the Instrumentation Chain; 2.1 General Model; 2.2 Event Sources; 2.3 Intermediate Representations; 2.4 Event Forwarding; 2.5 Event Analysis; 2.6 Tools Interoperability; 3 Towards a Shared-Representation of Performance Events; 3.1 Towards a Tool Network; 3.2 The Producer/Consumer Interface; 4 Practical Illustration with MALP; 5 Conclusion
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6 Future WorkReferences; OMPT-Multiplex: Nesting of OMPT Tools; 1 Introduction; 2 Use Cases; 2.1 Affinity Display; 2.2 Supplementary Debugging Tool; 2.3 Other Tools Building on OMPT; 3 OMPT Multiplex Architecture; 4 Activating an OMPT Tool; 5 Tool Data Pointer; 6 Initializing an OMPT Tool; 7 Runtime Entry Points; 8 Callback Functions; 9 OMPT-Multiplex Versus OMPTn; 10 Recursive Use of OMPT Multiplex; 11 Conclusion; References; SCIPHI Score-P and Cube Extensions for Intel Phi; 1 Introduction; 2 Related Work; 3 Memory Analysis; 3.1 DDR4 SDRAM and MCDRAM Usage; 3.2 MCDRAM Candidates
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| Abstract
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This book presents the proceedings of the 11th International Parallel Tools Workshop, a forum to discuss the latest advances in parallel tools, held September 11-12, 2017 in Dresden, Germany. High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.
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| Subject
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High performance computing, Congresses.
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High performance computing.
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MATHEMATICS-- Essays.
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MATHEMATICS-- Pre-Calculus.
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MATHEMATICS-- Reference.
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| Dewey Classification
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004.1/1
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| LC Classification
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QA76.88
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| Added Entry
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Brunst, Holger.
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Mix, Hartmut
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Nagel, Wolfgang E.
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Niethammer, Christoph
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Resch, Michael M.
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