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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 Briede

Carlos Rodríguez

Carlos Schleipen

Carlos Strunz

Carlos Köhler

 

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On the support of inter-node P2P GPU memory copies in rCUDA., и . J. Parallel Distributed Comput., (2019)On the benefits of the remote GPU virtualization mechanism: The rCUDA case., , , и . Concurr. Comput. Pract. Exp., (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)Enhancing the rCUDA Remote GPU Virtualization Framework: from a Prototype to a Production Solution., , и . CCGrid, стр. 695-698. IEEE Computer Society / ACM, (2017)A cloud-edge computing architecture for monitoring protective equipment., , , , и . J. Cloud Comput., 13 (1): 82 (декабря 2024)On the effect of using rCUDA to provide CUDA acceleration to Xen virtual machines., , и . Clust. Comput., 22 (1): 185-204 (2019)Local and Remote GPUs Perform Similar with EDR 100G InfiniBand., , , и . Middleware Industry, стр. 4:1-4:7. ACM, (2015)Editorial., , и . J. Parallel Distributed Comput., (2021)An Intelligent Image Processing System for Enhancing Blood Vessel Segmentation on Low-Power SoC., , , , и . SAMOS, том 14385 из Lecture Notes in Computer Science, стр. 123-138. Springer, (2023)