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ORCIDNAIC 2024: Sydney, NSW, Australia
- Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing, NAIC 2024, Sydney, NSW, Australia, August 4-8, 2024. ACM 2024, ISBN 979-8-4007-0713-1
- Banruo Liu
, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini:
Proof-of-Concept of a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. 1-3 - Xinghai Wei, Tingting Yuan, Jie Yuan, Xiaoming Fu:
Learning to Communicate Strategically for Efficient Collective Intelligence. 4-6 - Peng Xun, Tao Li, Yulei Yuan, Hui Yang, Cunlu Li:
Xraytest: An X-ray Test system for finding faults of RDMA-NIC Design and Implementation. 7-8 - Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster:
Feasibility of State Space Models for Network Traffic Generation. 9-17 - Peirui Cao, Wenxue Cheng, Shizhen Zhao, Yongqiang Xiong:
Network Load Balancing with Parallel Flowlets for AI Training Clusters. 18-25 - Lukasz Tulczyjew, Ihor Biruk, Murat Bilgic, Charles Abondo, Nathanael Weill:
PCAPVision: PCAP-Based High-Velocity and Large-Volume Network Failure Detection. 26-33 - Hanchen Li, Yuhan Liu, Yihua Cheng, Siddhant Ray, Kuntai Du, Junchen Jiang:
Eloquent: A More Robust Transmission Scheme for LLM Token Streaming. 34-40 - Kuo Guo, Jia Chen, Qi Xu, Fei Song, Xu Huang, Shang Liu, Dongsheng Qian, Jun Zhu, Ruyun Zhang, Keping Long:
CollaSFC: An Intelligent Collaborative Approach for In-network SFC Failure Detection in Data Center for AI Computing. 41-47 - Baojia Li, Xiaoliang Wang, Jingzhu Wang, Yifan Liu, Yuanyuan Gong, Hao Lu, Weizhen Dang, Weifeng Zhang, Xiaojie Huang, Mingzhuo Chen, Jie Chen, Chunzhi He, Yadong Liu, Xiaoyuan Hu, Chen Liu, Xuefeng Ji, Yinben Xia, Xiang Li, Zekun He, Yachen Wang, Xianneng Zou:
TCCL: Co-optimizing Collective Communication and Traffic Routing for GPU-centric Clusters. 48-53 - Haoyu Song:
In-Network AllReduce Optimization with Virtual Aggregation Trees. 54-60 - Achref Rebai, Mubarak Adetunji Ojewale, Anees Ullah, Marco Canini, Suhaib A. Fahmy:
SqueezeNIC: Low-Latency In-NIC Compression for Distributed Deep Learning. 61-68 - Seongyeon Yoon, Heewon Kim, Hyeonjae Jeong, Chanbin Bae, Haeun Kim, Sangheon Pack:
Multi-task Aware Resource Efficient Traffic Classification via in-Network Inference. 69-74 - Tongzhou Gu, Jiawei Fei, Marco Canini:
OmNICCL: Zero-cost Sparse AllReduce with Direct Cache Access and SmartNICs. 75-83
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last updated on 2025-01-09 19:18 CET by the dblp team
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