Revealing parallel scans and reductions in recurrences through function reconstruction

Author:

Jiang Peng1,Chen Linchuan2,Agrawal Gagan1

Affiliation:

1. The Ohio State University

2. Google

Funder

National Science Foundation

Publisher

ACM

Reference29 articles.

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2. Online. Exponential Smoothing. (Online). https://en.wikipedia.org/wiki/Exponential_smoothing Online. Exponential Smoothing. (Online). https://en.wikipedia.org/wiki/Exponential_smoothing

3. Automatic recognition of induction variables and recurrence relations by abstract interpretation

4. Eli Bendersky. 2014. Modern source-to-source transformation with Clang and libTooling. (2014). https://eli.thegreenplace.net/2014/05/01/modern-souree-to-source-transformation-with-clang-and-libtooling Eli Bendersky. 2014. Modern source-to-source transformation with Clang and libTooling. (2014). https://eli.thegreenplace.net/2014/05/01/modern-souree-to-source-transformation-with-clang-and-libtooling

5. Scans as primitive parallel operations

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1. Enhancing LLVM Optimizations for Linear Recurrence Programs on RVV;Proceedings of the 52nd International Conference on Parallel Processing Workshops;2023-08-07

2. Reverse engineering for reduction parallelization via semiring polynomials;Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation;2021-06-18

3. Lambda calculus with algebraic simplification for reduction parallelisation: Extended study;Journal of Functional Programming;2021

4. Lambda calculus with algebraic simplification for reduction parallelization by equational reasoning;Proceedings of the ACM on Programming Languages;2019-07-26

5. Enabling prefix sum parallelism pattern for recurrences with principled function reconstruction;Proceedings of the 28th International Conference on Compiler Construction - CC 2019;2019

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