Teng Ma, Alibaba Group; Zheng Liu, Zhejiang University and Alibaba Group; Chengkun Wei, Zhejiang University; Jialiang Huang, Alibaba Group and Tsinghua University; Youwei Zhuo, Alibaba Group and Peking University; Haoyu Li, Zhejiang University; Ning Zhang, Yijin Guan, and Dimin Niu, Alibaba Group; Mingxing Zhang, Tsinghua University; Tao Ma, Alibaba Group
In this paper, we present HydraRPC, which utilizes CXL-attached HDM for data transmission. By leveraging CXL, HydraRPC can benefit from memory sharing, memory semantics, and high scalability. As a result, expensive network rounds, memory copying, and serialization/deserialization are eliminated. Since CXL.cache protocols are not fully supported, we employ non-cachable sharing to bypass the CPU cache and design a busy-polling free notification mechanism. This ensures efficient data transmission without the need for constant polling. We conducted evaluations of HydraRPC on real CXL hardware, which showcased the potential efficiency of utilizing CXL HDM to build RPC systems.
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author = {Teng Ma and Zheng Liu and Chengkun Wei and Jialiang Huang and Youwei Zhuo and Haoyu Li and Ning Zhang and Yijin Guan and Dimin Niu and Mingxing Zhang and Tao Ma},
title = {{HydraRPC}: {RPC} in the {CXL} Era},
booktitle = {2024 USENIX Annual Technical Conference (USENIX ATC 24)},
year = {2024},
isbn = {978-1-939133-41-0},
address = {Santa Clara, CA},
pages = {387--395},
url = {https://www.usenix.org/conference/atc24/presentation/ma},
publisher = {USENIX Association},
month = jul
}
