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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 Heterogeneity-Aware Resource Allocation in HPC Systems
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    Chapter 2 On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors
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    Chapter 3 Bayesian Optimization of HPC Systems for Energy Efficiency
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    Chapter 4 DTF: An I/O Arbitration Framework for Multi-component Data Processing Workflows
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    Chapter 5 Classifying Jobs and Predicting Applications in HPC Systems
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    Chapter 6 A Survey of Programming Tools for D-Wave Quantum-Annealing Processors
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    Chapter 7 Compiler-Assisted Source-to-Source Skeletonization of Application Models for System Simulation
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    Chapter 8 Zeno: A Straggler Diagnosis System for Distributed Computing Using Machine Learning
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    Chapter 9 Applicability of the ECM Performance Model to Explicit ODE Methods on Current Multi-core Processors
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    Chapter 10 Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems
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    Chapter 11 Performance Optimization and Evaluation of Scalable Optoelectronics Application on Large Scale KNL Cluster
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    Chapter 12 A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization
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    Chapter 13 Hardware Performance Variation: A Comparative Study Using Lightweight Kernels
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    Chapter 14 The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance
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    Chapter 15 Megafly: A Topology for Exascale Systems
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    Chapter 16 Packetization of Shared-Memory Traces for Message Passing Oriented NoC Simulation
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    Chapter 17 Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs
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    Chapter 18 Combining HTM with RCU to Speed Up Graph Coloring on Multicore Platforms
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    Chapter 19 Distributed Deep Reinforcement Learning: Learn How to Play Atari Games in 21 minutes
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    Chapter 20 TaskGenX: A Hardware-Software Proposal for Accelerating Task Parallelism
Attention for Chapter 6: A Survey of Programming Tools for D-Wave Quantum-Annealing Processors
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Chapter title
A Survey of Programming Tools for D-Wave Quantum-Annealing Processors
Chapter number 6
Book title
High Performance Computing
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-92040-5_6
Book ISBNs
978-3-31-992039-9, 978-3-31-992040-5
Authors

Scott Pakin, Steven P. Reinhardt

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Unspecified 1 9%
Student > Bachelor 1 9%
Other 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 4 36%
Engineering 2 18%
Business, Management and Accounting 1 9%
Physics and Astronomy 1 9%
Unspecified 1 9%
Other 0 0%
Unknown 2 18%