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High Performance Computing

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Cover of 'High Performance Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Analyzing the I/O Scalability of a Parallel Particle-in-Cell Code
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    Chapter 2 Cost and Performance Modeling for Earth System Data Management and Beyond
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    Chapter 3 I/O Interference Alleviation on Parallel File Systems Using Server-Side QoS-Based Load-Balancing
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    Chapter 4 Tools for Analyzing Parallel I/O
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    Chapter 5 Understanding Metadata Latency with MDWorkbench
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    Chapter 6 From Application to Disk: Tracing I/O Through the Big Data Stack
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    Chapter 7 IOscope: A Flexible I/O Tracer for Workloads’ I/O Pattern Characterization
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    Chapter 8 Exploring Scientific Application Performance Using Large Scale Object Storage
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    Chapter 9 Benefit of DDN’s IME-FUSE for I/O Intensive HPC Applications
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    Chapter 10 Performance Study of Non-volatile Memories on a High-End Supercomputer
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    Chapter 11 Self-optimization Strategy for IO Accelerator Parameterization
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    Chapter 12 utmem: Towards Memory Elasticity in Cloud Workloads
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    Chapter 13 Efficient Live Migration of Linux Containers
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    Chapter 14 Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ Data Analysis and Visualization and Computational Steering
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    Chapter 15 Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation
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    Chapter 16 In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned
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    Chapter 17 Design of a Flexible In Situ Framework with a Temporal Buffer for Data Processing and Visualization of Time-Varying Datasets
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    Chapter 18 Streaming Live Neuronal Simulation Data into Visualization and Analysis
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    Chapter 19 Enabling Explorative Visualization with Full Temporal Resolution via In Situ Calculation of Temporal Intervals
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    Chapter 20 In-Situ Visualization of Solver Residual Fields
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    Chapter 21 An In-Situ Visualization Approach for the K Computer Using Mesa 3D and KVS
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    Chapter 23 Supercomputer in a Laptop: Distributed Application and Runtime Development via Architecture Simulation
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    Chapter 24 CGYRO Performance on Power9 CPUs and Volta GPUs
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    Chapter 25 A 64-GB Sort at 28 GB/s on a 4-GPU POWER9 Node for Uniformly-Distributed 16-Byte Records with 8-Byte Keys
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    Chapter 26 Early Experience on Running OpenStaPLE on DAVIDE
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    Chapter 27 Porting and Benchmarking of BWAKIT Pipeline on OpenPOWER Architecture
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    Chapter 28 Improving Performance and Energy Efficiency on OpenPower Systems Using Scalable Hardware-Software Co-design
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    Chapter 29 Porting DMRG++ Scientific Application to OpenPOWER
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    Chapter 30 Job Management with mpi_jm
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    Chapter 31 Compile-Time Library Call Detection Using CAASCADE and XALT
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    Chapter 32 NUMA-Aware Data-Transfer Measurements for Power/NVLink Multi-GPU Systems
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    Chapter 33 Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures
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    Chapter 34 Lessons Learned from Optimizing Kernels for Adaptive Aggregation Multi-grid Solvers in Lattice QCD
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    Chapter 35 Distributed Training of Generative Adversarial Networks for Fast Detector Simulation
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    Chapter 36 Cache-Aware Roofline Model and Medical Image Processing Optimizations in GPUs
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    Chapter 37 How Pre-multicore Methods and Algorithms Perform in Multicore Era
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    Chapter 38 Impact of Approximate Memory Data Allocation on a H.264 Software Video Encoder
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    Chapter 39 Residual Replacement in Mixed-Precision Iterative Refinement for Sparse Linear Systems
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    Chapter 40 Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study
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    Chapter 41 A Transparent View on Approximate Computing Methods for Tuning Applications
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    Chapter 42 Exploring the Effects of Code Optimizations on CPU Frequency Margins
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    Chapter 43 Taking Gradients Through Experiments: LSTMs and Memory Proximal Policy Optimization for Black-Box Quantum Control
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    Chapter 44 Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning
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    Chapter 45 Using a Graph Visualization Tool for Parallel Program Dynamic Visualization and Communication Analysis
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    Chapter 46 Offloading C++17 Parallel STL on System Shared Virtual Memory Platforms
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    Chapter 47 Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers
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    Chapter 48 Enabling Interactive Supercomputing at JSC Lessons Learned
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    Chapter 49 Interactive Distributed Deep Learning with Jupyter Notebooks
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    Chapter 50 Performance Portability of Earth System Models with User-Controlled GGDML Code Translation
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    Chapter 51 Evaluating Performance Portability of Accelerator Programming Models using SPEC ACCEL 1.2 Benchmarks
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    Chapter 52 A Beginner’s Guide to Estimating and Improving Performance Portability
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    Chapter 53 Profiling and Debugging Support for the Kokkos Programming Model
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Title
High Performance Computing
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-02465-9
ISBNs
978-3-03-002464-2, 978-3-03-002465-9
Editors

Yokota, Rio, Weiland, Michèle, Shalf, John, Alam, Sadaf

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