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- W4320063655 abstract "As Graphics Processing Units (GPUs) evolved into popular hardware accelerators for many compute-hungry applications in the cloud, GPU virtualization has become a highly desirable feature to lower operating costs of cloud infrastructures. In this work, we explore fine-grained GPU sharing, which has a larger potential in improving hardware utilization compared to a coarse-grained approach adopted in Nvidia's latest virtualization solution. However, fine-grained sharing introduces workload-dependent interference among concurrent applications, which leads to performance unpredictability and thus makes it extremely challenging to provide quality-of-service (QoS) guarantees in a cloud environment." @default.
- W4320063655 created "2023-02-12" @default.
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- W4320063655 date "2022-10-08" @default.
- W4320063655 modified "2023-09-30" @default.
- W4320063655 title "GPUPool" @default.
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- W4320063655 doi "https://doi.org/10.1145/3559009.3569650" @default.
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