PeeK: A Prune-Centric Approach for K Shortest Path Computation-Reference-Cited by-同舟云学术

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PeeK: A Prune-Centric Approach for K Shortest Path Computation

Published:2023-11-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
language:
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Author:

Feng Wang¹^ORCID,Chen Shiyang²^ORCID,Liu Hang²^ORCID,Ji Yuede¹^ORCID

Affiliation:

1. University of North Texas, Denton, United States of America

2. Rutgers University, New Brunswick, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581784.3607110

Reference71 articles.

1. [n. d.]. Block indirect sort algorithm. https://www.boost.org/doc/libs/1_81_0/libs/sort/doc/html/sort/parallel.html#sort.parallel.block_indirect_sort. [n. d.]. Block indirect sort algorithm. https://www.boost.org/doc/libs/1_81_0/libs/sort/doc/html/sort/parallel.html#sort.parallel.block_indirect_sort.

2. [n. d.]. Distributed Sorting Algorithms. https://brunomaga.github.io/Distributed-Sort. [n. d.]. Distributed Sorting Algorithms. https://brunomaga.github.io/Distributed-Sort.

3. [n. d.]. Graph500: reference implementations. https://github.com/graph500/graph500. [n. d.]. Graph500: reference implementations. https://github.com/graph500/graph500.

4. [n. d.]. Texas Advanced Computing Center. https://www.tacc.utexas.edu. [n. d.]. Texas Advanced Computing Center. https://www.tacc.utexas.edu.

5. An Empirical Comparison of k-Shortest Simple Path Algorithms on Multicores

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