Publications

Vaughan, Courtenay T.; Hammond, Simon D.; Dinge, Dennis D.; Lin, Paul L.; Hughes, Clayton H.; Benner, R.E.; Cook, Jeanine C.; Pase, Douglas M.; Hoekstra, Robert J.

Abstract not provided.

Hammond, Simon D.; Vaughan, Courtenay T.; Dinge, Dennis D.; Lin, Paul L.; Benner, R.E.; Hughes, Clayton H.; Trott, Christian R.; Cook, Jeanine C.; Hoekstra, Robert J.

Abstract not provided.

Vaughan, Courtenay T.; Hammond, Simon D.

Abstract not provided.

DeConinck, Adam D.; Nam, Hai A.; Mortin, Dave M.; Bonnie, Amanda B.; Lueninghoener, Cory L.; Brandt, James M.; Gentile, Ann C.; Pedretti, Kevin P.; Agelastos, Anthony M.; Vaughan, Courtenay T.; Hammond, Simon D.; Allan, Benjamin A.; Davis, Michael C.; Repik, Jason

Abstract not provided.

DeConinck, Adam D.; Nam, Hai A.; Morton, David P.; Bonnie, Amanda B.; Lueninghoener, Cory L.; Brandt, James M.; Gentile, Ann C.; Pedretti, Kevin P.; Agelastos, Anthony M.; Vaughan, Courtenay T.; Hammond, Simon D.; Allan, Benjamin A.; Davis, Mike D.; Repik, Jason

Abstract not provided.

Vaughan, Courtenay T.; Hammond, Simon D.; Dinge, Dennis D.; Lin, Paul L.; Pase, Douglas M.; Cook, Jeanine C.; Trott, Christian R.; Hughes, Clayton H.; Hoekstra, Robert J.

Abstract not provided.

Vaughan, Courtenay T.; Hammond, Simon D.; Dinge, Dennis D.; Lin, Paul L.; Pase, Douglas M.; Trott, Christian R.; Cook, Jeanine C.; Hughes, Clayton H.; Hoekstra, Robert J.

Abstract not provided.

Vaughan, Courtenay T.; Dinge, Dennis D.; Lin, Paul L.; Hammond, Simon D.; Pase, Douglas M.; Benner, Douglas E.; Cook, Jeanine C.; Hoekstra, Robert J.

Abstract not provided.

Hammond, Simon D.; Trott, Christian R.; Vaughan, Courtenay T.; Dinge, Dennis D.; Lin, Paul L.; Pase, Douglas M.; Benner, R.E.; Cook, Jeanine C.; Hoekstra, Robert J.

Abstract not provided.

Hammond, Simon D.; Vaughan, Courtenay T.; Dinge, Dennis D.; Lin, Paul L.; Pase, Douglas M.; Cook, Jeanine C.; Hoekstra, Robert J.

Abstract not provided.

Hammond, Simon D.; Trott, Christian R.; Lin, Paul L.; Vaughan, Courtenay T.; Cook, Jeanine C.; Dinge, Dennis D.; Pase, Douglas M.; Benner, R.E.; Hoekstra, Robert J.

Abstract not provided.

Vaughan, Courtenay T.; Dinge, Dennis D.; Lin, Paul L.; Hammond, Simon D.; Cook, Jeanine C.; Trott, Christian R.; Agelastos, Anthony M.; Pase, Douglas M.; Benner, R.E.; Rajan, Mahesh R.; Hoekstra, Robert J.

Abstract not provided.

Vaughan, Courtenay T.; Dinge, Dennis D.; Lin, Paul L.; Hammond, Simon D.; Cook, Jeanine C.; Trott, Christian R.; Agelastos, Anthony M.; Pase, Douglas M.; Benner, R.E.; Rajan, Mahesh R.; Hoekstra, Robert J.; Pierson, Kendall H.

Abstract not provided.

Vaughan, Courtenay T.; Hammond, Simon D.

Abstract not provided.

Proceedings - IEEE International Conference on Cluster Computing, ICCC

Vaughan, Courtenay T.; Barrett, Richard F.

A broad range of physical phenomena in science and engineering can be explored using finite difference and volume based application codes. Incorporating Adaptive Mesh Refinement (AMR) into these codes focuses attention on the most critical parts of a simulation, enabling increased numerical accuracy of the solution while limiting memory consumption. However, adaptivity comes at the cost of increased runtime complexity, which is particularly challenging on emerging and expected future architectures. In order to explore the design space offered by new computing environments, we have developed a proxy application called miniAMR. MiniAMR exposes a range of the important issues that will significantly impact the performance potential of full application codes. In this paper, we describe miniAMR, demonstrate what is designed to represent in a full application code, and illustrate how it can be used to exploit future high performance computing architectures. To ensure an accurate understanding of what miniAMR is intended to represent, we compare it with CTH, a shock hydrodynamics code in heavy use throughout several computational science and engineering communities.

Vaughan, Courtenay T.

Abstract not provided.

Trott, Christian R.; Hammond, Simon D.; Dinge, Dennis D.; Lin, Paul L.; Vaughan, Courtenay T.; Cook, Jeanine C.; Rajan, Mahesh R.; Edwards, Harold C.; Hoekstra, Robert J.

For the FY15 ASC L2 Trilab Codesign milestone Sandia National Laboratories performed two main studies. The first study investigated three topics (performance, cross-platform portability and programmer productivity) when using OpenMP directives and the RAJA and Kokkos programming models available from LLNL and SNL respectively. The focus of this first study was the LULESH mini-application developed and maintained by LLNL. In the coming sections of the report the reader will find performance comparisons (and a demonstration of portability) for a variety of mini-application implementations produced during this study with varying levels of optimization. Of note is that the implementations utilized including optimizations across a number of programming models to help ensure claims that Kokkos can provide native-class application performance are valid. The second study performed during FY15 is a performance assessment of the MiniAero mini-application developed by Sandia. This mini-application was developed by the SIERRA Thermal-Fluid team at Sandia for the purposes of learning the Kokkos programming model and so is available in only a single implementation. For this report we studied its performance and scaling on a number of machines with the intent of providing insight into potential performance issues that may be experienced when similar algorithms are deployed on the forthcoming Trinity ASC ATS platform.

Cook, Jeanine C.; Edwards, Harold C.; Dinge, Dennis D.; Glass, Micheal W.; Hammond, Simon D.; Hoekstra, Robert J.; Lin, Paul L.; Rajan, Mahesh R.; Trott, Christian R.; Vaughan, Courtenay T.

Abstract not provided.

Vaughan, Courtenay T.; Rajan, Mahesh R.; Dinge, Dennis D.; Dohrmann, Clark R.; Glass, Micheal W.; Franko, Kenneth J.; Pierson, Kendall H.; Tupek, Michael R.

Abstract not provided.

Vaughan, Courtenay T.; Rajan, Mahesh R.; Dinge, Dennis D.; Dohrmann, Clark R.; Glass, Micheal W.; Franko, Kenneth J.; Pierson, Kendall H.; Tupek, Michael R.

Abstract not provided.

Vaughan, Courtenay T.; Barrett, Richard F.

Abstract not provided.

Proceedings of the 6th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2015

Barrett, Richard F.; Stark, Dylan S.; Vaughan, Courtenay T.; Grant, Ryan E.; Olivier, Stephen L.; Pedretti, Kevin P.

The Bulk Synchronous Parallel programming model is showing performance limitations at high processor counts. We propose over-decomposition of the domain, operated on as tasks, to smooth out utilization of the computing resource, in particular the node interconnect and processing cores, and hide intra- and inter-node data movement. Our approach maintains the existing coding style commonly employed in computational science and engineering applications. Although we show improved performance on existing computers, up to 131,072 processor cores, the effectiveness of this approach on expected future architectures will require the continued evolution of capabilities throughout the codesign stack. Success then will not only result in decreased time to solution, but would also make better use of the hardware capabilities and reduce power and energy requirements, while fundamentally maintaining the current code configuration strategy.

Vaughan, Courtenay T.

Abstract not provided.

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?"

Vaughan, Courtenay T.; Rajan, Mahesh R.; Dinge, Dennis D.; Dohrmann, Clark R.; Franko, Kenneth J.; Glass, Micheal W.; Pierson, Kendall H.; Tupek, Michael R.

Abstract not provided.