Autotuning: search, specialization, and multiple objectives

Dr. Paul Hovland, Argonne National Laboratory, U.S.A.

6 Jun 2012, 17:00; Location: S4|10-1

We describe recent and ongoing work in the area of automatic performance tuning. By employing specialization, we can develop tuned variants for the most common usage scenarios in a given application. By posing the empirical search problem as a mathematical optimization problem, we can draw upon the large body of research in derivative free optimization algorithms. Finally, by extending the optimization formulation to the multiple objective case, we can develop techniques to explore the tradeoffs among competing criteria, such as execution time, energy consumption, resilience, and memory footprint.

Category: CE Seminar


Technische Universität Darmstadt

Graduate School CE
Dolivostraße 15
D-64293 Darmstadt

Phone+49 6151/16-24401
Fax -24404

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