High Performance Computing for Computational Science – VECPAR 2016 [electronic resource] : 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers /

Contributor(s):

Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 10150Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XIII, 272 p. 133 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319619828

Subject(s):

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

004.0151 23

LOC classification:

QA76.9.M35

Online resources:

Click here to access online

Contents:

Applications -- Performance modeling and analysis -- Low level support.-Environments/libraries to support parallelization.

In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 12fth International Conference on High Performance Computing in Computational Science, VECPAR 2016, held in Porto, Portugal, in June 2016. The 20 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on applications; performance modeling and analysis; low level support; environments/libraries to support parallelization.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

No physical items for this record

Applications -- Performance modeling and analysis -- Low level support.-Environments/libraries to support parallelization.

This book constitutes the thoroughly refereed post-conference proceedings of the 12fth International Conference on High Performance Computing in Computational Science, VECPAR 2016, held in Porto, Portugal, in June 2016. The 20 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on applications; performance modeling and analysis; low level support; environments/libraries to support parallelization.

There are no comments on this title.

to post a comment.