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Assessing the role of mini-applications in predicting key performance characteristics of scientific and engineering applications

Journal of Parallel and Distributed Computing

Barrett, R.F.; Crozier, Paul C.; Doerfler, Douglas W.; Heroux, Michael A.; Lin, Paul L.; Thornquist, Heidi K.; Trucano, Timothy G.; Vaughan, Courtenay T.

Computational science and engineering application programs are typically large, complex, and dynamic, and are often constrained by distribution limitations. As a means of making tractable rapid explorations of scientific and engineering application programs in the context of new, emerging, and future computing architectures, a suite of "miniapps" has been created to serve as proxies for full scale applications. Each miniapp is designed to represent a key performance characteristic that does or is expected to significantly impact the runtime performance of an application program. In this paper we introduce a methodology for assessing the ability of these miniapps to effectively represent these performance issues. We applied this methodology to three miniapps, examining the linkage between them and an application they are intended to represent. Herein we evaluate the fidelity of that linkage. This work represents the initial steps required to begin to answer the question, "Under what conditions does a miniapp represent a key performance characteristic in a full app?"

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TYPE Journal Article YEAR 2015
ScopusOSTIDOI

Investigating the impact of the Cielo Cray XE6 architecture on scientific application codes

IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum

Vaughan, Courtenay T.; Rajan, Mahesh R.; Barrett, Richard F.; Doerfler, Douglas W.; Pedretti, Kevin P.

Cielo, a Cray XE6, is the Department of Energy NNSA Advanced Simulation and Computing (ASC) campaign's newest capability machine. Rated at 1.37 PFLOPS, it consists of 8,944 dual-socket oct-core AMD Magny-Cours compute nodes, linked using Cray's Gemini interconnect. Its primary mission objective is to enable a suite of the ASC applications implemented using MPI to scale to tens of thousands of cores. Cielo is an evolutionary improvement to a successful architecture previously available to many of our codes, thus enabling a basis for understanding the capabilities of this new architecture. Using three codes strategically important to the ASC campaign, and supplemented with some micro-benchmarks that expose the fundamental capabilities of the XE6, we report on the performance characteristics and capabilities of Cielo. © 2011 IEEE.

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TYPE Conference YEAR 2011
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Results 1–25 of 75
Results 1–25 of 75