Autotuning algorithmic choice for input sensitivity

Autotuning algorithmic choice for input sensitivity

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A daunting challenge faced by program performance autotuning is input sensitivity, where the best autotuned configuration may vary with different input sets. This paper presents a novel two-level input learning algorithm to tackle the challenge for an important class of autotuning problems, algorith...

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Bibliographic Details
Main Authors: Ding, Yufei, Ansel, Jason, Veeramachaneni, Kalyan, Shen, Xipeng, O'Reilly, Una-May, Amarasinghe, Saman P.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2015
Online Access:http://hdl.handle.net/1721.1/99720
https://orcid.org/0000-0002-7231-7643

Internet

http://hdl.handle.net/1721.1/99720
https://orcid.org/0000-0002-7231-7643

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