A productivity centered application performance tuning framework
Simone Sbaraglia, H.L. Wen, Seetharami Seelam, I‐Hsin Chung, Guojing Cong, Kattamuri Ekanadham, David J. Klepacki · 2007
In response to the productivity challenge of the U.S. DARPA HPCS initiative, we have developed a methodol-ogy that provides an extremely simple and pain-free inter-face through which scientists can collect rich performance data from selected parts of an execution, digest the data at a very high level, and plan for improvements. This pro-cess can be easily repeated, each time refining the selection of parts of the application and revising the granularity of data collected, until complete insight is gained about bot-tlenecks. A distinct feature of our approach is that the framework is independent of the features being examined. Recognizing that the features to be examined change with systems/applications and also with depth at which an aspect is being examined, our framework provides an easy interface