Vai al contenuto principale della pagina

OpenMP: Enabling Massive Node-Level Parallelism : 17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, September 14–16, 2021, Proceedings / / edited by Simon McIntosh-Smith, Bronis R. de Supinski, Jannis Klinkenberg



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: McIntosh-Smith Simon Visualizza persona
Titolo: OpenMP: Enabling Massive Node-Level Parallelism : 17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, September 14–16, 2021, Proceedings / / edited by Simon McIntosh-Smith, Bronis R. de Supinski, Jannis Klinkenberg Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (231 pages)
Disciplina: 621.3916
Soggetto topico: Microprocessors
Computer architecture
Logic design
Computer programming
Compilers (Computer programs)
Operating systems (Computers)
Processor Architectures
Logic Design
Programming Techniques
Compilers and Interpreters
Operating Systems
Persona (resp. second.): De SupinskiBronis R.
KlinkenbergJannis
Nota di contenuto: 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.
Sommario/riassunto: This book constitutes the proceedings of the 17th International Workshop on OpenMP, IWOMP 2021, held virtually in September 2021 and hosted by the High Performance Computing research group at the University of Bristol, UK. The 15 full papers presented in this volume were carefully reviewed and selected for inclusion in this book. The papers are organized in topical sections named: synchronization and data; tasking expansions; applications; case studies; and heterogenous computing and memory. Chapter ‘FOTV: A Generic Device Offloading Framework for OpenMP’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Titolo autorizzato: OpenMP: Enabling Massive Node-Level Parallelism  Visualizza cluster
ISBN: 3-030-85262-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910502669803321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Programming and Software Engineering, . 2945-9168 ; ; 12870