High Performance Computing

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

  • Kunkel Julian M. 
  • Balaji Pavan 
  • Dongarra Jack 
Conference proceedings ISC High Performance 2016

DOI: 10.1007/978-3-319-41321-1

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

Table of contents (25 papers)

  1. Front Matter
    Pages I-XV
  2. Autotuning and Thread Mapping

    1. Front Matter
      Pages 1-1
    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
    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
    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
    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
    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

Other volumes

  1. High Performance Computing
    31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings
  2. High Performance Computing
    ISC High Performance 2016 International Workshops, ExaComm, E-MuCoCoS, HPC-IODC, IXPUG, IWOPH, P^3MA, VHPC, WOPSSS, Frankfurt, Germany, June 19–23, 2016, Revised Selected Papers

About these proceedings


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 and Cloud; Communication Runtime; Intel Xeon Phi; Manycore Architectures; Extreme-scale Computations; and Resilience.


architectures dependable systems fault-tolerance machine learning parallel computing methodologies distributed computing methodologies engineering evaluation finite element method high order load balancing multi-objective neuronal network simulations optimization performance modeling physical sciences programming models reliability resilience vectorization

Editors and affiliations

  • Kunkel Julian M. 
    • 1
  • Balaji Pavan 
    • 2
  • Dongarra Jack 
    • 3
  1. 1.Deutsches KlimarechenzentrumHamburgGermany
  2. 2.Argonne National LaboratoryLemontUSA
  3. 3.University of TennesseeKnoxvilleUSA

Bibliographic information

  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-41320-4
  • Online ISBN 978-3-319-41321-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349