2021
DOI: 10.1007/978-3-030-83978-9_1
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Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties

Abstract: Functional languages allow rewrite-rule systems that aggressively generate a multitude of semantically-equivalent but differently-optimized code versions. In the context of GPGPU execution, this paper addresses the important question of how to compose these code versions into a single program that (near-)optimally discriminates them across different datasets. Rather than aiming at a general autotuning framework reliant on stochastic search, we argue that in some cases, a more effective solution can be obtained… Show more

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