Framework Application for Core Edge Transport Simulation (FACETS)

Malony, Allen D ; Shende, Sameer S ; Huck, Kevin A ; Mr. Alan Morris, and Mr. Wyatt Spear

关键词: FACETS;    TAU;    Performance Evaluation;    Instrumentation;    Measurement;   

DOI  :  10.2172/1036270
RP-ID  :  DOE/ID/DE-FC02-07ER54910/TAU_FACETS
PID  :  OSTI ID: 1036270

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The goal of the FACETS project (Framework Application for Core-Edge Transport Simulations) was to provide a multiphysics, parallel framework application (FACETS) that will enable whole-device modeling for the U.S. fusion program, to provide the modeling infrastructure needed for ITER, the next step fusion confinement device. Through use of modern computational methods, including component technology and object oriented design, FACETS is able to switch from one model to another for a given aspect of the physics in a flexible manner. This enables use of simplified models for rapid turnaround or high-fidelity models that can take advantage of the largest supercomputer hardware. FACETS does so in a heterogeneous parallel context, where different parts of the application execute in parallel by utilizing task farming, domain decomposition, and/or pipelining as needed and applicable. ParaTools, Inc. was tasked with supporting the performance analysis and tuning of the FACETS components and framework in order to achieve the parallel scaling goals of the project. The TAU Performance System?? was used for instrumentation, measurement, archiving, and profile / tracing analysis. ParaTools, Inc. also assisted in FACETS performance engineering efforts. Through the use of the TAU Performance System, ParaTools provided instrumentation, measurement, analysis and archival support for the FACETS project. Performance optimization of key components has yielded significant performance speedups. TAU was integrated into the FACETS build for both the full coupled application and the UEDGE component. The performance database provided archival storage of the performance regression testing data generated by the project, and helped to track improvements in the software development.