Computer Science
Understanding the Benefits of Hardware-Accelerated Communication in Model-Serving Applications
W. A. Hanafy, L. Wang, et al.
This groundbreaking research by Walid A Hanafy, Limin Wang, Hyunseok Chang, Sarit Mukherjee, T V Lakshman, and Prashant Shenoy reveals how hardware-accelerated communication can significantly reduce latency in machine learning pipelines. By leveraging RDMA and GPUDirect RDMA, the study demonstrates a potential latency savings of 15-50% compared to traditional TCP methods, showcasing crucial insights into performance optimization.
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