OpenMP: Enabling Massive Node-Level Parallelism

OpenMP: Enabling Massive Node-Level Parallelism

17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, September 14-16, 2021, Proceedings

Klinkenberg, Jannis; de Supinski, Bronis R.; McIntosh-Smith, Simon

Springer Nature Switzerland AG

08/2021

228

Mole

Inglês

9783030852610

15 a 20 dias

373

Descrição não disponível.
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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computer programming;distributed computer systems;embedded systems;field programmable gate array;fpga;gpu;hpc;microprocessor chips;mpi;multi core;openmp;parallel algorithms;parallel architectures;parallel computing;parallel processing systems;parallel programming;processors;program compilers;semantics