1.

Record Nr.

UNINA9910349262203321

Titolo

OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence : 4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers / / edited by Manjunath Gorentla Venkata, Neena Imam, Swaroop Pophale

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

9783319738147

3319738143

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (X, 181 p. 97 illus.)

Collana

Programming and Software Engineering, , 2945-9168 ; ; 10679

Disciplina

005.275

Soggetti

Software engineering

Computer programming

Computer hardware description languages

Logic design

Microprocessors

Computer architecture

Computers, Special purpose

Software Engineering

Programming Techniques

Register-Transfer-Level Implementation

Logic Design

Processor Architectures

Special Purpose and Application-Based Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Symmetric Memory Partitions in OpenSHMEM: A Case Study with Intel KNL -- Implementation and Evaluation of OpenSHMEM Contexts Using OFI Libfabric -- Merged Requests for Better Performance and Productivity in Multithreaded OpenSHMEM -- Evaluating Contexts in OpenSHMEM-X Reference Implementation -- Parallelizing Single Source Shortest Path with OpenSHMEM -- Efficient Breadth First Search



on Multi-GPU Systems Using GPU-centric OpenSHMEM -- Application-Level Optimization of On-Node Communication in OpenSHMEM.- SHMEMCache with MPI One-Sided Operation -- Balancing Performance and Portability with Containers in HPC: An OpenSHMEM Example.- Exploiting and Evaluating OpenSHMEM on KNL Architecture -- Performance Analysis of OpenSHMEM Applications with TAU Commander.

Sommario/riassunto

This book constitutes the proceedings of the 4th OpenSHMEM Workshop, held in Annapolis, MD, USA, in August 2017. The 11 full papers presented in this book were carefully reviewed and selected from 14 submissions. The papers discuss a variety of ideas for extending the OpenSHMEM specification and making it efficient for current and next generation systems. This includes new research for communication contexts in OpenSHMEM, different optimizations for OpenSHMEM on shared memory machines, exploring the implementation of OpenSHMEM and its memory model on Intel’s KNL architecture, and implementing new applications and benchmarks with OpenSHMEM. .