
OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence
4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers
Springer (Publisher)
Published on 10. January 2018
Book
Paperback/Softback
X, 181 pages
978-3-319-73813-0 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
97 s/w Abbildungen
X, 181 p. 97 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
300 gr
ISBN-13
978-3-319-73813-0 (9783319738130)
DOI
10.1007/978-3-319-73814-7
Schweitzer Classification
Other editions
Additional editions

Manjunath Gorentla Venkata | Neena Imam | Swaroop Pophale
OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence
4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers
E-Book
01/2018
Springer
€42.79
Available for download
Content
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.