Making pull-based graph processing performant-Reference-Cited by-同舟云学术

Making pull-based graph processing performant

Published:2018-02-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
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Author:

Grossman Samuel¹,Litz Heiner²,Kozyrakis Christos¹

Affiliation:

1. Stanford University

2. University of California

Funder

National Science Foundation

Samsung

Huawei

Stanford Platform Lab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3178487.3178506

Reference70 articles.

1. An Inspector-Executor Algorithm for Irregular Assignment Parallelization

2. Scott Beamer Krste Asanović and David A. Patterson. 2011. Searching for a parent instead of fighting over children: A fast breadth-first search implementation for Graph500. Technical Report. EECS Department University of California Berkeley. Scott Beamer Krste Asanović and David A. Patterson. 2011. Searching for a parent instead of fighting over children: A fast breadth-first search implementation for Graph500. Technical Report. EECS Department University of California Berkeley.

3. Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server

4. Implementing sparse matrix-vector multiplication on throughput-oriented processors

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