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On the benefits of the remote GPU virtualization mechanism: The rCUDA case.

, , , and . Concurr. Comput. Pract. Exp., (2017)

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Improving the management efficiency of GPU workloads in data centers through GPU virtualization., , , and . Concurr. Comput. Pract. Exp., (2021)BODOQUE: An Energy-Efficient Flow Monitoring System for Ephemeral Streams., , , , and . MobiHoc, page 358-363. ACM, (2023)On the Acceleration of FaaS Using Remote GPU Virtualization., , , , , , and . ICPE (Companion), page 157-164. ACM, (2023)Improving the Efficiency of Future Exascale Systems with rCUDA., , and . HiPINEB@HPCA, page 40-47. IEEE Computer Society, (2018)GPU-Job Migration: The rCUDA Case., and . IEEE Trans. Parallel Distributed Syst., 30 (12): 2718-2729 (2019)Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems., , and . J. Parallel Distributed Comput., (2019)Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications., , and . ICPP Workshops, page 8:1-8:8. ACM, (2018)Remote GPU Virtualization: Is It Useful?, , , and . HiPINEB@HPCA, page 41-48. IEEE Computer Society, (2016)Enhancing large-scale docking simulation on heterogeneous systems: An MPI vs rCUDA study., , , , and . Future Gener. Comput. Syst., (2018)On the benefits of the remote GPU virtualization mechanism: The rCUDA case., , , and . Concurr. Comput. Pract. Exp., (2017)