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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 An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling
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    Chapter 2 Performance, Design, and Autotuning of Batched GEMM for GPUs
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    Chapter 3 TCU: A Multi-Objective Hardware Thread Mapping Unit for HPC Clusters
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    Chapter 4 Dynamic Sparse-Matrix Allocation on GPUs
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    Chapter 5 An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data
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    Chapter 6 Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication
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    Chapter 7 TiDA: High-Level Programming Abstractions for Data Locality Management
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    Chapter 8 OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities
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    Chapter 9 SPRITE: A Fast Parallel SNP Detection Pipeline
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    Chapter 10 Predictive Modeling for Job Power Consumption in HPC Systems
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    Chapter 11 Towards Machine Learning on the Automata Processor
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    Chapter 12 AutoMOMML: Automatic Multi-objective Modeling with Machine Learning
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    Chapter 13 Supercomputing Centers and Electricity Service Providers: A Geographically Distributed Perspective on Demand Management in Europe and the United States
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    Chapter 14 Resource Management for Running HPC Applications in Container Clouds
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    Chapter 15 Mitigating MPI Message Matching Misery
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    Chapter 16 INAM2: InfiniBand Network Analysis and Monitoring with MPI
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    Chapter 17 Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels
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    Chapter 18 High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing)
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    Chapter 19 Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations
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    Chapter 20 Efficient and Predictable Group Communication for Manycore NoCs
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    Chapter 21 Distributed Job Allocation for Large-Scale Manycores
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    Chapter 22 Many-Core Acceleration of a Discrete Ordinates Transport Mini-App at Extreme Scale
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    Chapter 23 Efficiency of High Order Spectral Element Methods on Petascale Architectures
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    Chapter 24 Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults
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    Chapter 25 Multi-versioning Performance Opportunities in BGAS System for Resilience
Attention for Chapter 16: INAM2: InfiniBand Network Analysis and Monitoring with MPI
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Chapter title
INAM2: InfiniBand Network Analysis and Monitoring with MPI
Chapter number 16
Book title
High Performance Computing
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-41321-1_16
Book ISBNs
978-3-31-941320-4, 978-3-31-941321-1
Authors

Hari Subramoni, Albert Mathews Augustine, Mark Arnold, Jonathan Perkins, Xiaoyi Lu, Khaled Hamidouche, Dhabaleswar K. Panda

Editors

Julian M. Kunkel, Pavan Balaji, Jack Dongarra

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Student > Bachelor 2 17%
Lecturer > Senior Lecturer 1 8%
Student > Master 1 8%
Student > Ph. D. Student 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Computer Science 6 50%
Engineering 1 8%
Unknown 5 42%