1 |
中国信息通信研究院. 中国算力发展指数白皮书[R]. 2023.
|
|
CAICT. China computing power development index white paper[R]. 2023.
|
2 |
ITU. Network capability enhancement for distributed artificial intelligent computing centers in next generation network evolution: [S]. 2023.
|
3 |
ITU. Functional requirements for the controller of wide area lossless network in NGNe: [S]. 2023.
|
4 |
GUO C X, WU H T, DENG Z, et al. RDMA over commodity Ethernet at scale[C]//Proceedings of the Proceedings of the 2016 ACM SIGCOMM Conference. New York: ACM Press, 2016: 202-215.
|
5 |
百度.智算中心网络架构白皮书[R]. 2023.
|
|
Baidu. White paper on network architecture of intelligent computing center [R]. 2023.
|
6 |
熊先奎, 袁进辉, 宋庆春. 面向分布式AI的智能网卡低延迟Fabric技术[J]. 中兴通讯技术, 2020, 26(5): 23-28.
|
|
XIONG X K, YUAN J H, SONG Q C. Low latency fabric technology of smart NIC for distributed AI[J]. ZTE Technology Journal, 2020, 26(5): 23-28.
|
7 |
中国信息通信研究院. 超融合数据中心网络白皮书[R]. 2021.
|
|
CAICT. Hyperconverged data center network white paper[R]. 2021.
|
8 |
中国电信集团有限公司. 新一代智算数据中心(AIDC)基础设施技术方案白皮书[R]. 2023.
|
|
Telecom China. White paper on the new generation of intelligent data center (AIDC) infrastructure technology[R]. 2023.
|
9 |
赵俊峰, 李芳, 叶晓峰, 等. 面向广域RDMA的确定性网络需求与技术[J]. 电信科学, 2023, 39(11): 39-51.
|
|
ZHAO J F, LI F, YE X F, et al. Research on deterministic networking requirements and technologies for RDMA-WAN[J]. Telecommunications Science, 2023, 39(11): 39-51.
|
10 |
GONG Y Z, ZHANG W, CHEN Y F, et al. How to adapt RDMA congestion control algorithm based on local conditions[C]//Proceedings of the 2023 IEEE International Performance, Computing, and Communications Conference (IPCCC). Piscataway: IEEE Press, 2023: 40-45.
|
11 |
HU Y R, SHI Z, NIE Y, et al. DCQCN advanced (DCQCN-a): combining ECN and RTT for RDMA congestion control[C]//Proceedings of the 2021 IEEE 5th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). Piscataway: IEEE Press, 2021: 1192-1198.
|
12 |
THAO NGUYEN T, WAHIB M, TAKANO R. Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters[J]. Concurrency and Computation: Practice and Experience, 2021, 33(12): 25-30.
|
13 |
BAI W, ABDEEN S S, AGRAWAL A, et al. Empowering azure storage with RDMA[C]//Proceedings of 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), 2023: 49-67.
|
14 |
CHEN Y Q, TIAN C, DONG J Q, et al. Swing: providing long-range lossless RDMA via PFC-relay[J]. IEEE Transactions on Parallel and Distributed Systems, 2023, 34(1): 63-75.
|
15 |
LUO W F, LAI D H, REN B H, et al. Dynamic load balancing algorithm for distributed database based on PI feedback[C]//Proceedings of the 2022 3rd International Conference on Intelligent Design (ICID). Piscataway: IEEE Press, 2022: 277-280.
|
16 |
LAKHOTIA K, PETRINI F, KANNAN R, et al. Accelerating allreduce with In-network reduction on intel PIUMA[J]. IEEE Micro, 2022, 42(2): 44-52.
|
17 |
CHEN C C, KHORASSANI K S, ANTHONY Q G, et al. Highly efficient alltoall and alltoallv communication algorithms for GPU systems[C]//Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Piscataway: IEEE Press, 2022: 24-33.
|