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Lecture Notes in Computer Science
Autotuning (AT) is a promising concept to minimize the often tedious manual effort of optimizing scientific applications for a specific target platform. Ideally, an AT approach can reliably identify the most efficient implementation variant(s) for a new platform or new characteristics of the input by applying suitable program transformations and analytic models. In this work, we introduce Offsite, an offline AT approach that automates this selection process at installation time by ratingdoi:10.1007/978-3-030-50743-5_19 fatcat:q5ndg7vqgreyzpiiedpjduckai