Predicting Performance and Accuracy of Mixed-Precision Programs for Precision Tuning

Author:

Wang Yutong1ORCID,Rubio-González Cindy1ORCID

Affiliation:

1. University of California, Davis, Davis, California, USA

Funder

Department of Energy

National Science Foundation

Publisher

ACM

Reference71 articles.

1. Typilus: neural type hints

2. Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi. 2018. Learning to Represent Programs with Graphs. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 -- May 3, 2018, Conference Track Proceedings. OpenReview.net. https://openreview.net/forum?id=BJOFETxR-

3. Accelerating scientific computations with mixed precision algorithms

4. David Bailey Tim Harris William Saphir Rob van der Wijngaart Alex Woo and Maurice Yarrow. 1995. The NAS Parallel Benchmarks 2.0.

5. Dorra Ben Khalifa and Matthieu Martel. 2023. Everything you Need to Know About Reduced Mixed Precision Computation in Numerical Programs. (2023). https://hal.science/hal-03978176 preprint.

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1. MixPert: Optimizing Mixed-Precision Floating-Point Emulation on GPU Integer Tensor Cores;Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems;2024-06-20

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