Performance Engineering: Understanding and Improving thePerformance of Large-Scale Codes

Journal Article · Mon Oct 01 00:00:00 EDT 2007 · CT Watch Quarterely

OSTI ID:929684

Bailey, David H; Lucas, Robert; Hovland, Paul; Norris, Boyana; Yelick, Kathy; Gunter, Dan; de Supinski, Bronis; Quinlan, Dan; Worley, Pat; Vetter, Jeff; Roth, Phil; Mellor-Crummey, John; Snavely, Allan; Hollingsworth, Jeff; Reed, Dan; Fowler, Rob; Zhang, Ying; Hall, Mary; Chame, Jacque; Dongarra, Jack ; Moore, Shirley

Achieving good performance on high-end computing systems is growing ever more challenging due to enormous scale, increasing architectural complexity, and increasing application complexity. To address these challenges in DOE's SciDAC-2 program, the Performance Engineering Research Institute (PERI) has embarked on an ambitious research plan encompassing performance modeling and prediction, automatic performance optimization and performance engineering of high profile applications. The principal new component is a research activity in automatic tuning software, which is spurred by the strong user preference for automatic tools.

• Research Organization: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Director. Office of Science. Advanced ScientificComputing Research
• DOE Contract Number: DE-AC02-05CH11231
• OSTI ID: 929684
• Report Number(s): LBNL-63730; R&D Project: KS3110; BnR: KJ0101030; TRN: US200812%%753
• Journal Information: CT Watch Quarterely, Vol. 3, Issue 4; Related Information: Journal Publication Date: Nov 2007
• Country of Publication: United States
• Language: English

Related Subjects

99
FORECASTING
OPTIMIZATION
PERFORMANCE
SIMULATION
TUNING
parallel computing performance