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High Performance Computing

31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Julian M. Kunkel

    1. Deutsches Klimarechenzentrum, Hamburg, Germany

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  2. Pavan Balaji

    1. Argonne National Laboratory, Lemont, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Jack Dongarra

    1. University of Tennessee, Knoxville, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9697)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ISC High Performance 2016.

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Table of contents (25 papers)

  1. Front Matter

    Pages I-XV
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  2. Autotuning and Thread Mapping

    1. Front Matter

      Pages 1-1
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    2. An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling

      • Rengan Xu, Sunita Chandrasekaran, Xiaonan Tian, Barbara Chapman
      Pages 3-20

    3. Performance, Design, and Autotuning of Batched GEMM for GPUs

      • Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack Dongarra
      Pages 21-38

    4. TCU: A Multi-Objective Hardware Thread Mapping Unit for HPC Clusters

      • Ravi Kumar Pujari, Thomas Wild, Andreas Herkersdorf
      Pages 39-58

  3. Data Locality and Decomposition

    1. Front Matter

      Pages 59-59
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    2. Dynamic Sparse-Matrix Allocation on GPUs

      • James King, Thomas Gilray, Robert M. Kirby, Matthew Might
      Pages 61-80

    3. An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data

      • Bruno R. C. Magalhães, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki, Felix Schürmann
      Pages 81-97

    4. Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication

      • Diana Palsetia, William Hendrix, Sunwoo Lee, Ankit Agrawal, Wei-keng Liao, Alok Choudhary
      Pages 98-115

    5. TiDA: High-Level Programming Abstractions for Data Locality Management

      • Didem Unat, Tan Nguyen, Weiqun Zhang, Muhammed Nufail Farooqi, Burak Bastem, George Michelogiannakis et al.
      Pages 116-135

  4. Scalable Applications

    1. Front Matter

      Pages 137-137
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    2. OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities

      • Nikhil Jain, Eric Bohm, Eric Mikida, Subhasish Mandal, Minjung Kim, Prateek Jindal et al.
      Pages 139-158

    3. SPRITE: A Fast Parallel SNP Detection Pipeline

      • Vasudevan Rengasamy, Kamesh Madduri
      Pages 159-177

  5. Machine Learning

    1. Front Matter

      Pages 179-179
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    2. Predictive Modeling for Job Power Consumption in HPC Systems

      • Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
      Pages 181-199

    3. Towards Machine Learning on the Automata Processor

      • Tommy Tracy II, Yao Fu, Indranil Roy, Eric Jonas, Paul Glendenning
      Pages 200-218

    4. AutoMOMML: Automatic Multi-objective Modeling with Machine Learning

      • Prasanna Balaprakash, Ananta Tiwari, Stefan M. Wild, Laura Carrington, Paul D. Hovland
      Pages 219-239

  6. Datacenters and Cloud

    1. Front Matter

      Pages 241-241
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    2. Supercomputing Centers and Electricity Service Providers: A Geographically Distributed Perspective on Demand Management in Europe and the United States

      • Tapasya Patki, Natalie Bates, Girish Ghatikar, Anders Clausen, Sonja Klingert, Ghaleb Abdulla et al.
      Pages 243-260

    3. Resource Management for Running HPC Applications in Container Clouds

      • Stephen Herbein, Ayush Dusia, Aaron Landwehr, Sean McDaniel, Jose Monsalve, Yang Yang et al.
      Pages 261-278
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Other volumes

  1. High Performance Computing

  2. High Performance Computing

Keywords

About this book

This book constitutes the refereed proceedings of the 31st International Conference, ISC High Performance 2016 [formerly known as the International Supercomputing Conference] held in Frankfurt, Germany, in June 2016.

The 25 revised full papers presented in this book were carefully reviewed and selected from 60 submissions. The papers cover the following topics: Autotuning and Thread Mapping; Data Locality and Decomposition; Scalable Applications; Machine Learning; Datacenters andCloud; Communication Runtime; Intel Xeon Phi; Manycore Architectures; Extreme-scale Computations; and Resilience.

Editors and Affiliations

  • Deutsches Klimarechenzentrum, Hamburg, Germany

    Julian M. Kunkel

  • Argonne National Laboratory, Lemont, USA

    Pavan Balaji

  • University of Tennessee, Knoxville, USA

    Jack Dongarra

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