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OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence: 4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers 1st ed. 2018 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 181 pages, height x width: 235x155 mm, weight: 454 g, 97 Illustrations, black and white; X, 181 p. 97 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10679
  • Izdošanas datums: 10-Jan-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319738135
  • ISBN-13: 9783319738130
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  • Mīkstie vāki
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OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence: 4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers 1st ed. 2018Palielināt
  • Formāts: Paperback / softback, 181 pages, height x width: 235x155 mm, weight: 454 g, 97 Illustrations, black and white; X, 181 p. 97 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10679
  • Izdošanas datums: 10-Jan-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319738135
  • ISBN-13: 9783319738130
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319738130.html
Keywords:
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.

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.