Code Synthesis for Sparse Tensor Format Conversion and Optimization-Reference-Cited by-同舟云学术

Code Synthesis for Sparse Tensor Format Conversion and Optimization

Published:2023-02-17 Issue: Volume: Page:
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Container-title:Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization
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Author:

Popoola Tobi¹,Zhao Tuowen²,St. George Aaron¹,Bhetwal Kalyan¹,Strout Michelle Mills³,Hall Mary²,Olschanowsky Catherine¹

Affiliation:

1. Boise State University, USA

2. University of Utah, USA

3. University of Arizona, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579990.3580021

Reference29 articles.

1. Data-driven Mixed Precision Sparse Matrix Vector Multiplication for GPUs

2. Aart J. C. Bik and Harry A. G. Wijshoff. 1993. On Automatic Data Structure Selection and Code Generation for Sparse Computations . In Proceedings of the 6th International Workshop on Languages and Compilers for Parallel Computing. Springer-Verlag , Berlin, Heidelberg. 57–75. isbn:3540576592 Aart J. C. Bik and Harry A. G. Wijshoff. 1993. On Automatic Data Structure Selection and Code Generation for Sparse Computations. In Proceedings of the 6th International Workshop on Languages and Compilers for Parallel Computing. Springer-Verlag, Berlin, Heidelberg. 57–75. isbn:3540576592

3. Optimizing synthesis with metasketches

4. Polyhedra scanning revisited

5. Chun Chen , Jacqueline Chame , and Mary Hall . 2008. CHiLL: A Framework for Composing High-Level Loop Transformations . University of Southern California . Chun Chen, Jacqueline Chame, and Mary Hall. 2008. CHiLL: A Framework for Composing High-Level Loop Transformations. University of Southern California.

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