A comparison of search heuristics for empirical code optimization

Abstract

This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning systems because the large size of the search space and the cost of evaluating the candidate implementations makes it infeasible to find the true optimum point by brute force. We… (More)
DOI: 10.1109/CLUSTR.2008.4663803

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