Learning to optimize halide with tree search and random programs-Reference-Cited by-同舟云学术

Learning to optimize halide with tree search and random programs

Published:2019-08-31 Issue:4 Volume:38 Page:1-12
ISSN:0730-0301
Container-title:ACM Transactions on Graphics
language:en
Short-container-title:ACM Trans. Graph.

Author:

Adams Andrew¹,Ma Karima²,Anderson Luke³,Baghdadi Riyadh³,Li Tzu-Mao³,Gharbi Michaël⁴,Steiner Benoit¹,Johnson Steven⁵,Fatahalian Kayvon⁶,Durand Frédo³,Ragan-Kelley Jonathan²

Affiliation:

1. Facebook AI Research

2. UC Berkeley

3. MIT CSAIL

4. Adobe

5. Google

6. Stanford University

Funder

Toyota

NSF/Intel Partnership on Computer Assisted Programming for Heterogeneous Architectures

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Link

https://dl.acm.org/doi/pdf/10.1145/3306346.3322967

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1. OpenTuner

2. A Survey on Compiler Autotuning using Machine Learning

3. PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming

4. A practical automatic polyhedral parallelizer and locality optimizer

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