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SC2025顶会

Phoenix: A Refactored I/O Stack for GPU Direct Storage without Phony Buffers

Jianqin Yan, Shi Qiu, Yina Lv, Yifan Hu, Hao Chen, Zhirong Shen, Xin Yao, Renhai Chen, Jiwu Shu, Gong Zhang, Yiming Zhang

2025年份
3被引次数
1顶会引用

摘要

GPU Direct Storage (GDS) plays a vital role in GPU-based training and inference systems, leveraging Peer-to-Peer Direct Memory Access (P2P-DMA) to establish a direct data transfer path between the GPU and the storage device. The direct I/O path reduces GPU storage access latency and CPU overhead, thus improving the efficiency of data transfer. Currently, however, GDS employs a phony buffer in the host memory to interact with the Linux kernel, which results in suboptimal I/O performance, extra resource consumption, and high deployment complexity.

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