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High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation

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Cover of 'High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation'

Table of Contents

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    Book Overview
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    Chapter 1 Evaluating On-Node GPU Interconnects for Deep Learning Workloads
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    Chapter 2 Comparison of Parallelisation Approaches, Languages, and Compilers for Unstructured Mesh Algorithms on GPUs
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    Chapter 3 Periodic I/O Scheduling for Super-Computers
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    Chapter 4 A Performance Study of Quantum ESPRESSO’s PWscf Code on Multi-core and GPU Systems
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    Chapter 5 Modeling Large Compute Nodes with Heterogeneous Memories with Cache-Aware Roofline Model
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    Chapter 6 A Scalable Analytical Memory Model for CPU Performance Prediction
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    Chapter 7 Modeling UGAL on the Dragonfly Topology
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    Chapter 8 Resilient N-Body Tree Computations with Algorithm-Based Focused Recovery: Model and Performance Analysis
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    Chapter 9 Multi-fidelity Surrogate Modeling for Application/Architecture Co-design
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    Chapter 10 A Slurm Simulator: Implementation and Parametric Analysis
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    Chapter 11 Path-Synchronous Performance Monitoring in HPC Interconnection Networks with Source-Code Attribution
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    Chapter 12 Performance and Energy Usage of Workloads on KNL and Haswell Architectures
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    Chapter 13 A Survey of Application Memory Usage on a National Supercomputer: An Analysis of Memory Requirements on ARCHER
Attention for Chapter 1: Evaluating On-Node GPU Interconnects for Deep Learning Workloads
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