Openmp: Enabling Massive Node-Level Parallelism by Bronis R. de Supinski
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Openmp: Enabling Massive Node-Level Parallelism

Openmp: Enabling Massive Node-Level Parallelism

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About the Book

Synchronization and Data.- Improving Speculative taskloop in Hardware Transactional Memory.- Vectorized Barrier and Reduction in LLVM OpenMP Runtime.- Tasking Extensions I.- Enhancing OpenMP Tasking Model: Performance and Portability.- OpenMP Taskloop Dependences.- Applications.- Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I).- Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II).- An empirical investigation of OpenMP based implementation of Simplex Algorithm.- Task inefficiency patterns for a wave equation solver.- Case Studies.- Comparing OpenMP Implementations With Applications Across A64FX Platforms.- A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation.- Heterogenous Computing and Memory.- Experience Report: Writing A Portable GPU Runtime with OpenMP 5.1.- FOTV: A generic device offloading framework for OpenMP.- Beyond Explicit Transfers: Shared and Managed Memory in OpenMP.- Tasking Extensions II.- Communication-Aware Task Scheduling Strategy in Hybrid MPI+OpenMP Applications.- An OpenMP Free Agent threads implementation.


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Product Details
  • ISBN-13: 9783030852610
  • Publisher: Universidad de Cantabria Servicio de Publicaciones
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 219
  • Spine Width: 13 mm
  • Weight: 394 gr
  • ISBN-10: 303085261X
  • Publisher Date: 22 Sep 2021
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: 17th International Workshop on Openmp, Iwomp 2021, Bristol, Uk, September 14-16, 2021, Proceedings
  • Width: 156 mm


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Openmp: Enabling Massive Node-Level Parallelism
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Openmp: Enabling Massive Node-Level Parallelism
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