Languages and Compilers for Parallel Computing: 30th International Workshop, LCPC 2017, College Station, TX, USA, October 11-13, 2017, Revised Selected Papers

Languages and Compilers for Parallel Computing: 30th International Workshop, LCPC 2017, College Station, TX, USA, October 11-13, 2017, Revised Selected Papers

by Lawrence Rauchwerger
ISBN-10:
3030352242
ISBN-13:
9783030352240
Pub. Date:
11/20/2019
Publisher:
Springer International Publishing
ISBN-10:
3030352242
ISBN-13:
9783030352240
Pub. Date:
11/20/2019
Publisher:
Springer International Publishing
Languages and Compilers for Parallel Computing: 30th International Workshop, LCPC 2017, College Station, TX, USA, October 11-13, 2017, Revised Selected Papers

Languages and Compilers for Parallel Computing: 30th International Workshop, LCPC 2017, College Station, TX, USA, October 11-13, 2017, Revised Selected Papers

by Lawrence Rauchwerger
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Overview

This book constitutes the proceedings of the 30th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2017, held in College Station, TX, USA, in October 2017.

The 17 full papers presented together with abstracts of 5 keynote talks, 11 invited speakers and 4 poster papers in this volume were carefully reviewed and selected from 26 submissions. LCPC encourages submissions that go outside its original scope of scientific computing to diverse areas that are enable or enhanced by the power of parallel systems such as mobile computing, big data, relevant aspects of machine learning, data centers, cognitive computing, etc. LCPC strongly encourages personal interaction and technical discussions along the initial material.


Product Details

ISBN-13: 9783030352240
Publisher: Springer International Publishing
Publication date: 11/20/2019
Series: Lecture Notes in Computer Science , #11403
Edition description: 1st ed. 2019
Pages: 290
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Compilers for Parallel Computing.- Performance Modeling and Instrumentation.- Parallel Programming and Abstractions.- GPU Applications.
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