Document Type

Conference Proceeding

Publication Date

1-16-2014

Publication Title

International Conference for High Performance Computing, Networking, Storage and Analysis, SC

Abstract

The advent of petascale computing has introduced new challenges (e.g. Heterogeneity, system failure) for programming scalable parallel applications. Increased complexity and dynamism in science and engineering applications of today have further exacerbated the situation. Addressing these challenges requires more emphasis on concepts that were previously of secondary importance, including migratability, adaptivity, and runtime system introspection. In this paper, we leverage our experience with these concepts to demonstrate their applicability and efficacy for real world applications. Using the CHARM++ parallel programming framework, we present details on how these concepts can lead to development of applications that scale irrespective of the rough landscape of supercomputing technology. Empirical evaluation presented in this paper spans many miniapplications and real applications executed on modern supercomputers including Blue Gene/Q, Cray XE6, and Stampede.

Volume

2015-January

Issue

January

First Page

647

Last Page

658

DOI

10.1109/SC.2014.58

ISSN

21674329

Comments

Archived as published.

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