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OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity

5th Workshop, OpenSHMEM 2018, Baltimore, MD, USA, August 21-23, 2018, Revised Selected Papers
BuchKartoniert, Paperback
217 Seiten
Englisch
Springererschienen am19.03.20191st ed. 2019
The papers discuss a variety of ideas for extending the OpenSHMEM specification and discuss a variety of concepts, including interesting use of OpenSHMEM in HOOVER - a distributed, flexible, and scalable streaming graph processor and scaling OpenSHMEM to handle massively parallel processor arrays.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextThe papers discuss a variety of ideas for extending the OpenSHMEM specification and discuss a variety of concepts, including interesting use of OpenSHMEM in HOOVER - a distributed, flexible, and scalable streaming graph processor and scaling OpenSHMEM to handle massively parallel processor arrays.
Details
ISBN/GTIN978-3-030-04917-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2019
Erscheinungsdatum19.03.2019
Auflage1st ed. 2019
ReiheProgramming and Software Engineering
Seiten217 Seiten
SpracheEnglisch
Gewicht358 g
IllustrationenX, 217 p. 105 illus., 94 illus. in color.
Artikel-Nr.45919623

Inhalt/Kritik

Inhaltsverzeichnis
OpenSHMEM Library Extensions and Implementations.- OpenSHMEM Sets and Groups: An Approach to Worksharing and Memory Management.- Design and Optimization of OpenSHMEM 1.4 for the Intel® Omni-Path Fabric 100 Series.- Introducing Cray OpenSHMEMX - A Modular Multi-Communication Layer OpenSHMEM Implementation .- An Initial Implementation of Libfabric Conduit for OpenSHMEM-X.- The OpenFAM API: A Programming Model for Disaggregated Persistent Memory.- SHCOLL - A Standalone Implementation of OpenSHMEM-style Collectives API.- OpenSHMEM Use and Applications.- HOOVER: Distributed, Flexible, and Scalable Streaming Graph Processing on OpenSHMEM.- Tumbling Down the GraphBLAS Rabbit Hole with SHMEM.- Scaling OpenSHMEM for Massively Parallel Processor Arrays.- Designing High-Performance In-Memory Key-Value Operations with Persistent GPU Kernels and OpenSHMEM.- OpenSHMEM Simulators, Tools, and Benchmarks.- Towards Lightweight and Scalable Simulation of Large-Scale OpenSHMEM Applications.- Tracking Memory Usage in OpenSHMEM Runtimes with the TAU Performance System.- Lightweight Instrumentation and Analysis using OpenSHMEM Performance Counters.- Oak Ridge OpenSHMEM Benchmark Suite.mehr

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