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Sun 22 - Fri 27 October 2017 Vancouver, Canada

The Rapid Alloy Method for Producing Accurate, General Empirical potential generation toolkit (RAMPAGE) is a program for fitting multicomponent interatomic potential functions for metal alloys. In this paper, we describe a collaborative effort between domain scientists and performance engineers to improve the parallelism, scalability, and maintainability of the code. We modified RAMPAGE to use the Message Passing Interface (MPI) for communication and synchronization, to use more than one MPI process when evaluating candidate potential functions, and to have its MPI processes execute functionality that was previously executed by external non-MPI processes. We ported RAMPAGE to run on the Eos and Titan Cray systems of the United States Department of Energy (DOE)‘s Oak Ridge Leadership Computing Facility (OLCF), and the Cori and Edison systems at the DOE’s National Energy Research Scientific Computing Center (NERSC). Our modifications resulted in a $7\times$ speedup on 8 Eos system nodes, and scalability up to 2048 processes on the Cori system with Intel Knights Landing processors. To improve maintainability of the RAMPAGE source code, we introduced several software engineering best practices to the RAMPAGE developers’ workflow.

Mon 23 Oct
Times are displayed in time zone: Tijuana, Baja California change

10:30 - 12:00: Session2: Software performance engineeringSEPS at Brighton
Chair(s): Pablo de Oliveira CastroUniversity of Versailles, France
10:30 - 11:00
MALT, A Malloc Tracker
Sébastien ValatCERN, Andres S. Charif-RubialUniversité de Versailles Saint-Quentin, William JalbyUniversité de Versalles
11:00 - 11:30
Performance Analysis and Optimization of the RAMPAGE Metal Alloy Potential Generation Software
Philip C. RothOak Ridge National Laboratory, Hongzhang ShanLawrence Berkeley National Laboratory, David RiegnerThe Ohio State University, Nikolas AntolinThe Ohio State University, Sarat SreepathiOak Ridge National Laboratory, Leonid OlikerLawrence Berkeley National Laboratory, Samuel WilliamsLawrence Berkeley National Laboratory, Shirley MooreOak Ridge National Laboratory, Wolfgang WindlThe Ohio State University
11:30 - 12:00
The Influence of HPCToolkit and Score-P on Hardware Performance Counters
Jan-Patrick LehrGraduate School of Computational Engineering, TU Darmstadt, Christian IwainskyCompetence Center for High-Performance Computing in Hessian, TU Darmstadt, Christian BischofScientific Computing, TU Darmstadt