Efficient Breadth First Search on Multi-GPU Systems Using GPU-Centric OpenSHMEM-Reference-Cited by-同舟云学术

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Efficient Breadth First Search on Multi-GPU Systems Using GPU-Centric OpenSHMEM

Published:2018 Issue: Volume: Page:82-96
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Potluri Sreeram,Goswami Anshuman,Venkata Manjunath Gorentla,Imam Neena

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-73814-7_6

Reference18 articles.

1. http://graph500.org: Graph 500 benchmark specification 1.2 (2017). http://www.graph500.org/

2. Merrill, D., Garland, M., Grimshaw, A.: Scalable GPU graph traversal. SIGPLAN Not. 47, 117–128 (2012)

3. Bisson, M., Bernaschi, M., Mastrostefano, E.: Parallel distributed breadth first search on the Kepler architecture. CoRR abs/1408.1605 (2014)

4. Lecture Notes in Computer Science;S Potluri,2015

5. NVIDIA: GPUDirect (2015). https://developer.nvidia.com/gpudirect

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. Single‐ and multi‐GPU computing on NVIDIA‐ and AMD‐based server platforms for solidification modeling application;Concurrency and Computation: Practice and Experience;2023-12-27

2. Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge;Proceedings of the 37th International Conference on Supercomputing;2023-06-21

3. Designing High-Performance In-Memory Key-Value Operations with Persistent GPU Kernels and OpenSHMEM;OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity;2019

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