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  • Conference proceedings
  • © 2022

Languages and Compilers for Parallel Computing

33rd International Workshop, LCPC 2020, Virtual Event, October 14-16, 2020, Revised Selected Papers

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13149)

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

Conference series link(s): LCPC: International Workshop on Languages and Compilers for Parallel Computing

Conference proceedings info: LCPC 2020.

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  • ISBN: 978-3-030-95953-1
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Table of contents (15 papers)

  1. Front Matter

    Pages i-x
  2. Code and Data Transformations

    1. Front Matter

      Pages 1-1
    2. Expanding Opportunities for Array Privatization in Sparse Computations

      • Mahdi Soltan Mohammadi, Mary Hall, Michelle Mills Strout
      Pages 29-37
  3. OpenMP and Fortran

    1. Front Matter

      Pages 39-39
    2. Concurrent Execution of Deferred OpenMP Target Tasks with Hidden Helper Threads

      • Shilei Tian, Johannes Doerfert, Barbara Chapman
      Pages 41-56
    3. Improving Fortran Performance Portability

      • Jacob Marks, Eric Medwedeff, Ondřej Čertík, Robert Bird, Robert W. Robey
      Pages 74-83
  4. Domain Specific Compilation

    1. Front Matter

      Pages 85-85
    2. COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry

      • Erdal Mutlu, Ruiqin Tian, Bin Ren, Sriram Krishnamoorthy, Roberto Gioiosa, Jacques Pienaar et al.
      Pages 87-103
  5. Machine Language and Quantum Computing

    1. Front Matter

      Pages 117-117
    2. Optimized Code Generation for Deep Neural Networks

      • Janaan Lake, Tharindu R. Patabandi, Mary Hall
      Pages 119-133
    3. A Quantum-Inspired Model for Bit-Serial SIMD-Parallel Computation

      • Henry Dietz, Aury Shafran, Gregory Austin Murphy
      Pages 151-159
  6. Performance Analysis

    1. Front Matter

      Pages 161-161
  7. Code Generation

    1. Front Matter

      Pages 179-179
    2. Cain: Automatic Code Generation for Simultaneous Convolutional Kernels on Focal-plane Sensor-processors

      • Edward Stow, Riku Murai, Sajad Saeedi, Paul H. J. Kelly
      Pages 181-197

Other Volumes

  1. Languages and Compilers for Parallel Computing

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 33rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2020, held in Stony Brook, NY, USA, in October 2020. Due to COVID-19 pandemic the conference was held virtually. The 15 revised full papers were carefully reviewed and selected from 19 submissions. The contributions were organized in topical sections named as follows: Code and Data Transformations; OpenMP and Fortran; Domain Specific Compilation; Machine Language and Quantum Computing; Performance Analysis; Code Generation.

Keywords

  • artificial intelligence
  • compiler
  • computer hardware
  • computer programming
  • computer science
  • computer systems
  • computer vision
  • distributed computer systems
  • distributed systems
  • education
  • embedded systems
  • mathematics
  • microprocessor chips
  • optimization
  • parallel algorithms
  • parallel architectures
  • parallel processing systems
  • parallel programming
  • processors
  • program compilers

Editors and Affiliations

  • Inst for Advanced Computational Science, Stony Brook University, Stony Brook, USA

    Barbara Chapman

  • IBM TJ Watson Research Center, Yorktown Heights, USA

    José Moreira

Bibliographic Information

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-95953-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 69.99
Price excludes VAT (USA)