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Languages and Compilers for Parallel Computing

29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers

  • Conference proceedings
  • © 2017

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Editors:
  1. Chen Ding

    1. University of Rochester , Rochester, USA

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  2. John Criswell

    1. University of Rochester , Rochester, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Peng Wu

    1. Huawei Inc. , Santa Clara, 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 10136)

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

Included in the following conference series:

Conference proceedings info: LCPC 2016.

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Table of contents (24 papers)

  1. Front Matter

    Pages I-XI
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  2. Large Scale Parallelism

    1. Front Matter

      Pages 1-1
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    2. QUARC: An Array Programming Approach to High Performance Computing

      • Diptorup Deb, Robert J. Fowler, Allan Porterfield
      Pages 3-17

    3. Utilizing Concurrency: A New Theory for Memory Wall

      • Xian-He Sun, Yu-Hang Liu
      Pages 18-23

    4. ParFuse: Parallel and Compositional Analysis of Message Passing Programs

      • Sriram Aananthakrishnan, Greg Bronevetsky, Mark Baranowski, Ganesh Gopalakrishnan
      Pages 24-39

    5. Fast Approximate Distance Queries in Unweighted Graphs Using Bounded Asynchrony

      • Adam Fidel, Francisco Coral Sabido, Colton Riedel, Nancy M. Amato, Lawrence Rauchwerger
      Pages 40-54

    6. Energy Avoiding Matrix Multiply

      • Kelly Livingston, Aaron Landwehr, José Monsalve, Stéphane Zuckerman, Benoît Meister, Guang R. Gao
      Pages 55-70

  3. Resilience and Persistence

    1. Front Matter

      Pages 71-71
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    2. Language Support for Reliable Memory Regions

      • Saurabh Hukerikar, Christian Engelmann
      Pages 73-87

    3. Harnessing Parallelism in Multicore Systems to Expedite and Improve Function Approximation

      • Aurangzeb, Rudolf Eigenmann
      Pages 88-92

    4. Adaptive Software Caching for Efficient NVRAM Data Persistence

      • Pengcheng Li, Dhruva R. Chakrabarti
      Pages 93-97

  4. Compiler Analysis and Optimization

    1. Front Matter

      Pages 99-99
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    2. Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Frameworks for HPC

      • Mary Hall, Protonu Basu
      Pages 101-105

    3. An Extended Polyhedral Model for SPMD Programs and Its Use in Static Data Race Detection

      • Prasanth Chatarasi, Jun Shirako, Martin Kong, Vivek Sarkar
      Pages 106-120

    4. Polygonal Iteration Space Partitioning

      • Aniket Shivam, Alexandru Nicolau, Alexander V. Veidenbaum, Mario Mango Furnari, Rosario Cammarota
      Pages 121-136

    5. Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures

      • Pei-Hung Lin, Qing Yi, Daniel Quinlan, Chunhua Liao, Yongqing Yan
      Pages 137-152

    6. Formalizing Structured Control Flow Graphs

      • Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann
      Pages 153-168

  5. Dynamic Computation and Languages

    1. Front Matter

      Pages 169-169
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    2. Automatic Vectorization for MATLAB

      • Hanfeng Chen, Alexander Krolik, Erick Lavoie, Laurie Hendren
      Pages 171-187

    3. Analyzing Parallel Programming Models for Magnetic Resonance Imaging

      • Forest Danford, Eric Welch, Julio Cárdenas-Ródriguez, Michelle Mills Strout
      Pages 188-202
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  1. Languages and Compilers for Parallel Computing

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 29th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016.

The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persistence, compiler analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis.

Editors and Affiliations

  • University of Rochester , Rochester, USA

    Chen Ding, John Criswell

  • Huawei Inc. , Santa Clara, USA

    Peng Wu

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