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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 (Paperback, 1st ed. 2018) Loot Price: R1,644
Discovery Miles 16 440
OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence - 4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA,...

OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence - 4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers (Paperback, 1st ed. 2018)

Manjunath Gorentla Venkata, Neena Imam, Swaroop Pophale

Series: Lecture Notes in Computer Science, 10679

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Loot Price R1,644 Discovery Miles 16 440 | Repayment Terms: R154 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 10679
Release date: 2018
First published: 2018
Editors: Manjunath Gorentla Venkata • Neena Imam • Swaroop Pophale
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 181
Edition: 1st ed. 2018
ISBN-13: 978-3-319-73813-0
Categories: Books > Computing & IT > Computer programming > Software engineering
Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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LSN: 3-319-73813-5
Barcode: 9783319738130

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