Performance Engineering: Understanding and Improving thePerformance of Large-Scale Codes
David H. Bailey, Robert F. Lucas, Paul Hovland, Boyana Norris, Kathy Yelick, Dan Gunter, Bronis R. de Supinski, Dan Quinlan, P.H. Worley, Jeff Vetter, Phil Roth, John Mellor‐Crummey, Allan Snavely, Jeff Hollingsworth, Dan Reed, Rob Fowler, Ying Zhang, Mary W. Hall, Jacque Chame, Jack J. Dongarra · University of North Texas Digital Library (University of North Texas) · 2007
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.