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Languages and Compilers for Parallel Computing

27th International Workshop, LCPC 2014, Hillsboro, OR, USA, September 15-17, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. James Brodman

    1. Intel Corporation, Santa Clara, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Peng Tu

    1. Intel Corporation, 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 8967)

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

Included in the following conference series:

Conference proceedings info: LCPC 2014.

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Table of contents (25 papers)

  1. Front Matter

    Pages I-IX
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  2. Accelerator Programming

    1. Front Matter

      Pages 1-1
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    2. Optimistic Parallelism on GPUs

      • Min Feng, Rajiv Gupta, Laxmi N. Bhuyan
      Pages 3-18

    3. Directive-Based Compilers for GPUs

      • Swapnil Ghike, Rubén Gran, María J. Garzarán, David Padua
      Pages 19-35

    4. GLES: A Practical GPGPU Optimizing Compiler Using Data Sharing and Thread Coarsening

      • Zhen Lin, Xiaopeng Gao, Han Wan, Bo Jiang
      Pages 36-50

    5. Evaluating Performance Portability of OpenACC

      • Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter
      Pages 51-66

    6. NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model

      • Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara Chapman
      Pages 67-81

    7. Understanding Co-run Degradations on Integrated Heterogeneous Processors

      • Qi Zhu, Bo Wu, Xipeng Shen, Li Shen, Zhiying Wang
      Pages 82-97

  3. Algorithms for Parallelism

    1. Front Matter

      Pages 99-99
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    2. Simultaneous Inspection: Hiding the Overhead of Inspector-Executor Style Dynamic Parallelization

      • Daniel Brinkers, Ronald Veldema, Michael Philippsen
      Pages 101-115

    3. Tiled Linear Algebra a System for Parallel Graph Algorithms

      • Saeed Maleki, G. Carl Evans, David A. Padua
      Pages 116-130

    4. An Approach for Proving the Correctness of Inspector/Executor Transformations

      • Michael Norrish, Michelle Mills Strout
      Pages 131-145

    5. Fast Automatic Heuristic Construction Using Active Learning

      • William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather
      Pages 146-160

    6. Jagged Tiling for Intra-tile Parallelism and Fine-Grain Multithreading

      • Sunil Shrestha, Joseph Manzano, Andres Marquez, John Feo, Guang R. Gao
      Pages 161-175

    7. The stapl Skeleton Framework

      • Mani Zandifar, Nathan Thomas, Nancy M. Amato, Lawrence Rauchwerger
      Pages 176-190

  4. Compilers

    1. Front Matter

      Pages 191-191
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    2. Memory Management Techniques for Exploiting RDMA in PGAS Languages

      • Barnaby Dalton, Gabriel Tanase, Michail Alvanos, Gheorghe Almási, Ettore Tiotto
      Pages 193-207

    3. Change Detection Based Parallelism Mapping: Exploiting Offline Models and Online Adaptation

      • Murali Krishna Emani, Michael O’Boyle
      Pages 208-223

    4. Automatic Streamization of Image Processing Applications

      • Pierre Guillou, Fabien Coelho, François Irigoin
      Pages 224-238

    5. Evaluation of Automatic Power Reduction with OSCAR Compiler on Intel Haswell and ARM Cortex-A9 Multicores

      • Tomohiro Hirano, Hideo Yamamoto, Shuhei Iizuka, Kohei Muto, Takashi Goto, Tamami Wake et al.
      Pages 239-252
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Other volumes

  1. Languages and Compilers for Parallel Computing

Keywords

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2014, held in Hillsboro, OR, USA, in September 2014. The 25 revised full papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on accelerator programming; algorithms for parallelism; compilers; debugging; vectorization.

Editors and Affiliations

  • Intel Corporation, Santa Clara, USA

    James Brodman, Peng Tu

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