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WOLFHPC '16: Proceedings of the Sixth International Workshop on Domain-Specific Languages and High-Level Frameworks for HPC
2016 Proceeding
Publisher:
  • IEEE Press
Conference:
SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis Salt Lake City Utah November 13 - 18, 2016
ISBN:
978-1-5090-6156-3
Published:
13 November 2016
Sponsors:
SIGHPC, IEEE-CS\DATC
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Abstract

No abstract available.

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research-article
Automatic mapping of array operations to specific architectures
Pages 1–10

Array-oriented programming has been around for about thirty years and provides a fundamental abstraction for scientific computing. However, a wealth of popular programming languages in existence fail to provide convenient high-level abstractions and ...

research-article
Devito: automated fast finite difference computation
Pages 11–19

Domain specific languages have successfully been used in a variety of fields to cleanly express scientific problems as well as to simplify implementation and performance optimization on different computer architectures. Although a large number of ...

research-article
Efficient parallelization of MATLAB stencil applications for multi-core clusters
Pages 20–29

This paper presents the automatic parallelization of Stencil codes written in MATLAB for distributed systems. The compiler translates MATLAB source into C code and automatically parallelizes using MPI. For clusters of multi-cores, also a hybrid approach ...

research-article
YASK-yet another stencil kernel: a framework for HPC stencil code-generation and tuning
Pages 30–39

Stencil computation is an important class of algorithms used in a large variety of scientific-simulation applications. While the code for many problems can certainly be written in a straightforward manner in a high-level language, this often results in ...

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Acceptance Rates

WOLFHPC '16 Paper Acceptance Rate 4 of 6 submissions, 67%;
Overall Acceptance Rate 13 of 19 submissions, 68%
YearSubmittedAcceptedRate
WOLFHPC '166467%
WOLFHPC '1513969%
Overall191368%
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