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High Performance Computing

Overview of attention for book
Cover of 'High Performance Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Evaluating Quality of Service Traffic Classes on the Megafly Network
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    Chapter 2 Densifying Assumed-Sparse Tensors
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    Chapter 3 Learning Neural Representations for Predicting GPU Performance
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    Chapter 4 SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis
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    Chapter 5 A Near-Data Processing Server Architecture and Its Impact on Data Center Applications
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    Chapter 6 Comparing the Efficiency of In Situ Visualization Paradigms at Scale
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    Chapter 7 Layout-Aware Embedding for Quantum Annealing Processors
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    Chapter 8 Toward Efficient Architecture-Independent Algorithms for Dynamic Programs
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    Chapter 9 Petaflop Seismic Simulations in the Public Cloud
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    Chapter 10 MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
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    Chapter 11 PerfMemPlus: A Tool for Automatic Discovery of Memory Performance Problems
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    Chapter 12 GPUMixer: Performance-Driven Floating-Point Tuning for GPU Scientific Applications
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    Chapter 13 Performance Exploration Through Optimistic Static Program Annotations
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    Chapter 14 End-to-End Resilience for HPC Applications
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    Chapter 15 Resilient Optimistic Termination Detection for the Async-Finish Model
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    Chapter 16 Global Task Data-Dependencies in PGAS Applications
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    Chapter 17 Finepoints: Partitioned Multithreaded MPI Communication
Attention for Chapter 13: Performance Exploration Through Optimistic Static Program Annotations
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Chapter title
Performance Exploration Through Optimistic Static Program Annotations
Chapter number 13
Book title
High Performance Computing
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-20656-7_13
Book ISBNs
978-3-03-020655-0, 978-3-03-020656-7
Authors

Johannes Doerfert, Brian Homerding, Hal Finkel, Doerfert, Johannes, Homerding, Brian, Finkel, Hal

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