Generating testable hypotheses from tacit knowledge for high productivity computing

Authors:
Sima Asgari;Lorin Hochstein;Victor Basili;Marvin Zelkowitz;Jeff Hollingsworth;Jeff Carver;Forrest Shull
Affiliations:
University of Maryland, College Park, MD;University of Maryland, College Park, MD;University of Maryland, College Park, MD and Fraunhofer Center for Experimental Software Engineering, College Park, MD;University of Maryland, College Park, MD and Fraunhofer Center for Experimental Software Engineering, College Park, MD;University of Maryland, College Park, MD;Mississippi State University, Mississippi State, MS;Fraunhofer Center for Experimental Software Engineering, College Park, MD
Venue:
Proceedings of the second international workshop on Software engineering for high performance computing system applications
Year:
2005

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Abstract

In this research, we are developing our understanding of how the high performance computing community develops effective parallel implementations of programs by collecting the folklore within the community. We use this folklore as the basis for a series of experiments, which we expect, will validate or negate these assumptions.