Sparse computation data dependence simplification for efficient compiler-generated inspectors
Author:
Affiliation:
1. University of Arizona, USA
2. Inria, France / University of Rennes, France / CNRS, France / IRISA, France
3. University of Toronto, Canada
4. Boise State University, USA
5. University of Utah, USA
6. Intel, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3314221.3314646
Reference66 articles.
1. 2019. Compiler Technology to Optimize Performance (CTOP) research group webpage at Utah. http://ctop.cs.utah.edu/ctop/?page_id=21 2019. Compiler Technology to Optimize Performance (CTOP) research group webpage at Utah. http://ctop.cs.utah.edu/ctop/?page_id=21
2. 2019. IEGenLib library SC16 artifact github repository. https://github. com/CompOpt4Apps/IEGenLib/tree/SC16_IEGenLib 2019. IEGenLib library SC16 artifact github repository. https://github. com/CompOpt4Apps/IEGenLib/tree/SC16_IEGenLib
3. Runtime dependency analysis for loop pipelining in high-level synthesis
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