OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence - 4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers

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.

Sommario

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.

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. 

Dettagli sul prodotto

• Con la collaborazione di: Manjunath Gorentla Venkata (Editore), Neena Imam (Editore), Swaroop Pophale (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 10.01.2018
• EAN: 9783319738130
• ISBN: 978-3-31-973813-0
• Pagine: 181
• Dimensioni: 157 mm x 13 mm x 236 mm
• Peso: 301 g
• Illustrazioni: X, 181 p. 97 illus.
• Serie: Lecture Notes in Computer Science; Programming and Software Engineering
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; C, Software Engineering, Computerprogrammierung und Softwareentwicklung, Rechnerarchitektur und Logik-Entwurf, Wissensbasierte Systeme, Expertensysteme, Microprocessors, computer science, Programming Techniques, Computer programming, Computer programming / software engineering, Expert systems / knowledge-based systems, Computer architecture & logic design, Processor Architectures, Computer architecture and logic design, Special purpose computers, Special Purpose and Application-Based Systems, Logic Design, Register-Transfer-Level Implementation, programming models, shared memories, multithreaded