Which Graph Representation to Select for Static Graph-Algorithms on a CUDA-capable GPU-Reference-Cited by-同舟云学术

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Which Graph Representation to Select for Static Graph-Algorithms on a CUDA-capable GPU

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th Workshop on General Purpose Processing Using GPUs - GPGPU '19
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Author:

Blaß Thorsten¹,Philippsen Michael¹

Affiliation:

1. Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany

Publisher

ACM Press

Reference32 articles.

1. CUSP, a C++ template library for sparse matrix computations. https://cusplibrary.github.io/ Accessed: 2019-01-7.

2. cuSPARSE. http://docs.nvidia.com/cuda/cusparse/index.html Accessed: 2019-01-7.

3. DIMACS challenge. http://dimacs.rutgers.edu/Challenges/ Accessed: 2019-01-7.

4. DIMACS Challenge file formats. http://www.dis.uniroma1.it/challenge9/format.shtml Accessed: 2019-01-7.

5. SuiteSparse Matrix Collection. https://sparse.tamu.edu Accessed: 2019-01-7.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive update handling for graph HTAP;Distributed and Parallel Databases;2023-05-14

2. Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing;Proceedings of the International Conference on Parallel Architectures and Compilation Techniques;2022-10-08

3. Adaptive Update Handling for Graph HTAP;2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW);2022-05

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