Skip to main content
SpringerLink
Log in

Languages and Compilers for Parallel Computing

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

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Barbara Chapman

    1. Inst for Advanced Computational Science, Stony Brook University, Stony Brook, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. José Moreira

    1. IBM TJ Watson Research Center, Yorktown Heights, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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)

Included in the following conference series:

Conference proceedings info: LCPC 2020.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Code and Data Transformations

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. An Affine Scheduling Framework for Integrating Data Layout and Loop Transformations

      • Jun Shirako, Vivek Sarkar
      Pages 3-19

    3. Guiding Code Optimizations with Deep Learning-Based Code Matching

      • Kewen Meng, Boyana Norris
      Pages 20-28

    4. 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
      Download chapter PDF

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

      • Shilei Tian, Johannes Doerfert, Barbara Chapman
      Pages 41-56

    3. Using Hardware Transactional Memory to Implement Speculative Privatization in OpenMP

      • Juan Salamanca, Alexandro Baldassin
      Pages 57-73

    4. Improving Fortran Performance Portability

      • Jacob Marks, Eric Medwedeff, OndÅ™ej ÄŒertík, Robert Bird, Robert W. Robey
      Pages 74-83

  4. Domain Specific Compilation

    1. Front Matter

      Pages 85-85
      Download chapter PDF

    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

    3. G-Code Re-compilation and Optimization for Faster 3D Printing

      • Xiaoming Li
      Pages 104-116

  5. Machine Language and Quantum Computing

    1. Front Matter

      Pages 117-117
      Download chapter PDF

    2. Optimized Code Generation for Deep Neural Networks

      • Janaan Lake, Tharindu R. Patabandi, Mary Hall
      Pages 119-133

    3. Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware

      • Twisha Titirsha, Anup Das
      Pages 134-150

    4. 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
      Download chapter PDF

    2. Enhancing the Top-Down Microarchitectural Analysis Method Using Purchasing Power Parity Theory

      • Yectli A. Huerta, Brent Swartz, David J. Lilja
      Pages 163-177

  7. Code Generation

    1. Front Matter

      Pages 179-179
      Download chapter PDF

    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
Back to top

Other volumes

  1. Languages and Compilers for Parallel Computing

Keywords

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.

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

Publish with us

Policies and ethics

Back to top

Search

Navigation