BLP: Block-Level Pipelining for GPUs

Author:

Feng Wu-chun1ORCID,Cui Xuewen1ORCID,Scogland Thomas2ORCID,de Supinski Bronis2ORCID

Affiliation:

1. Virginia Tech, Blacksburg, Virginia, USA

2. Lawrence Livermore National Lab, Livermore, California, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference18 articles.

1. OpenMP ARB "OpenMP Application Program Interface Version 4.0 " 2013.

2. OpenMP ARB "OpenMP Application Program Interface Version 5.0 " 2018.

3. GPU-Aware MPI on RDMA-Enabled Clusters: Design, Implementation and Evaluation

4. B. Klenk, H. Fröening, H. Eberle, and L. Dennison, "Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors," in Parallel and Distributed Processing Symposium (IPDPS), 2017 IEEE International. IEEE, 2017, pp. 855--865.

5. C.J. Rossbach, J. Currey, M. Silberstein, B. Ray, and E. Witchel, "PTask: Operating System Abstractions to Manage GPUs as Compute Devices," in Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles. ACM, 2011, pp. 233--248.

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