ParSy: inspection and transformation of sparse matrix computations for parallelism

Article Details
Title:	ParSy: inspection and transformation of sparse matrix computations for parallelism
Article URLs:	http://dl.acm.org/citation.cfm?id=3291739
Alternative Article URLs:
Authors:	Kazem Cheshmi	University of Toronto, Department of Computer Science
	Shoaib Kamil	Adobe Research
	Michelle Mills Strout	University of Arizona, Department of Computer Science
	Maryam Mehri Dehnavi	University of Toronto, Department of Computer Science
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review. awarded
Artifact URLs:	https://github.com/sympiler/sympiler https://github.com/cheshmi/parsy_bench https://www.sympiler.com
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1657175, 1563732, 1548562
DBLP Key:	conf/sc/CheshmiKSD18
Author Comments:

ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2018