High Performance Computing [electronic resource] : 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 9697Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XV, 506 p. 227 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319413211

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

004.24 23

LOC classification:

QA76.9.E94

Online resources:

Click here to access online

Contents:

Autotuning and Thread Mapping -- Data Locality and Decomposition -- Scalable Applications -- Machine Learning -- Datacenters and Cloud -- Communication Runtime -- Intel Xeon Phi -- Manycore Architectures -- Extreme-scale Computations -- Resilience.

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 31st International Conference, ISC High Performance 2016 [formerly known as the International Supercomputing Conference] held in Frankfurt, Germany, in June 2016. The 25 revised full papers presented in this book were carefully reviewed and selected from 60 submissions. The papers cover the following topics: Autotuning and Thread Mapping; Data Locality and Decomposition; Scalable Applications; Machine Learning; Datacenters andCloud; Communication Runtime; Intel Xeon Phi; Manycore Architectures; Extreme-scale Computations; and Resilience.

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This book constitutes the refereed proceedings of the 31st International Conference, ISC High Performance 2016 [formerly known as the International Supercomputing Conference] held in Frankfurt, Germany, in June 2016. The 25 revised full papers presented in this book were carefully reviewed and selected from 60 submissions. The papers cover the following topics: Autotuning and Thread Mapping; Data Locality and Decomposition; Scalable Applications; Machine Learning; Datacenters andCloud; Communication Runtime; Intel Xeon Phi; Manycore Architectures; Extreme-scale Computations; and Resilience.

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