PolyBench/Python: benchmarking Python environments with polyhedral optimizations-Reference-Cited by-同舟云学术

PolyBench/Python: benchmarking Python environments with polyhedral optimizations

Published:2021-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM SIGPLAN International Conference on Compiler Construction
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Author:

Abella-González Miguel Á.¹,Carollo-Fernández Pedro¹,Pouchet Louis-Noël²,Rastello Fabrice³,Rodríguez Gabriel¹^ORCID

Affiliation:

1. Universidade da Coruña, Spain

2. Colorado State University, USA

3. Inria, France

Funder

Ministerio de Ciencia e Innovación

Xunta de Galicia

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3446804.3446842

Reference33 articles.

1. S. Beyer. 2020. Eficient cycle detection on a partially reference counted heap. Master's thesis. Technische Universität Wien. S. Beyer. 2020. Eficient cycle detection on a partially reference counted heap. Master's thesis. Technische Universität Wien.

2. Biopython

3. Intel Corporation. [n.d.]. Intel Data Analytics Acceleration Library. htps://software.intel.com/content/www/us/en/develop/tools/ data-analytics-acceleration-library.html Intel Corporation. [n.d.]. Intel Data Analytics Acceleration Library. htps://software.intel.com/content/www/us/en/develop/tools/ data-analytics-acceleration-library.html

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