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Boosting the performance of remote GPU virtualization using InfiniBand connect-IB and PCIe 3.0.

, , , , , , , и . CLUSTER, стр. 266-267. IEEE Computer Society, (2014)

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Carlos Köhler

Carlos Bäzner

Carlos Cardonha

Carlos Schwager

Carlos Oberacker

 

Другие публикации лиц с тем же именем

On the benefits of the remote GPU virtualization mechanism: The rCUDA case., , , и . Concurr. Comput. Pract. Exp., (2017)On the support of inter-node P2P GPU memory copies in rCUDA., и . J. Parallel Distributed Comput., (2019)Enhancing the rCUDA Remote GPU Virtualization Framework: from a Prototype to a Production Solution., , и . CCGrid, стр. 695-698. IEEE Computer Society / ACM, (2017)GPU-Accelerated Discrete Event Simulations: Towards Industry 4.0 Manufacturing., , и . ISCC, стр. 1-7. IEEE, (2021)CU2rCU: Towards the complete rCUDA remote GPU virtualization and sharing solution., , , , , и . HiPC, стр. 1-10. IEEE Computer Society, (2012)A cloud-edge computing architecture for monitoring protective equipment., , , , и . J. Cloud Comput., 13 (1): 82 (декабря 2024)Tuning remote GPU virtualization for InfiniBand networks., и . J. Supercomput., 72 (12): 4520-4545 (2016)Providing CUDA Acceleration to KVM Virtual Machines in InfiniBand Clusters with rCUDA., , и . DAIS, том 9687 из Lecture Notes in Computer Science, стр. 82-95. Springer, (2016)Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units., , и . Concurr. Comput. Pract. Exp., (2023)Improving the management efficiency of GPU workloads in data centers through GPU virtualization., , , и . Concurr. Comput. Pract. Exp., (2021)