GPU Memory Management Solution Supporting Incomplete Pages - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2018

GPU Memory Management Solution Supporting Incomplete Pages

Résumé

Despite the increasing investment in integrated GPUs and next-generation interconnect research, discrete GPUs connected by PCI Express still account for the dominant position of the market, the management of data communication between CPU and GPU continues to evolve. This paper analyze the address translation overhead and migration latency introduced by this paged memory management solution in CPU-GPU heterogeneous systems. Based on the analysis, a new memory management scheme is proposed: paged memory management solution supporting incomplete pages, which can limit both address translation overhead and migration delay. “Incomplete” refers to a page that has only been partially migrated. This new memory management solution modifies the address translation and data migration process with only minor changes in hardware.
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Dates et versions

hal-02279539 , version 1 (05-09-2019)

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Li Shen, Shiqing Zhang, Yaohua Yang, Zhiying Wang. GPU Memory Management Solution Supporting Incomplete Pages. 15th IFIP International Conference on Network and Parallel Computing (NPC), Nov 2018, Muroran, Japan. pp.174-178, ⟨10.1007/978-3-030-05677-3_20⟩. ⟨hal-02279539⟩
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