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ClusterGL
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现如今云服务厂商GPU实例的提供粒度太大,导致GPU的利用率低。本项目旨在提供一种细粒度的异构云端GPU共享服务,在提供良好GPU隔离效果的同时,提高GPU的利用率。
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Current GPU cloud instance is usually provided in units of a single physical GPU. However, this coarse-grained approach to GPU resource allocation leads to the problem of "resource underutilization". We propose gRemote, the first open-source framework for remote-resource sharing and isolation in the GPU cloud, as well as offering an elastic and heterogeneous GPU resource pool.
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Transparent parallel 3D rendering for display walls and Google Liquid Galaxy
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See http://clustergl.org for more information
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