Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective

Author:

Zeng Shulin1ORCID,Dai Guohao2ORCID,Zhang Niansong1,Yang Xinhao1,Zhang Haoyu1,Zhu Zhenhua1,Yang Huazhong1,Wang Yu1ORCID

Affiliation:

1. Department of Electrical Engineering, Tsinghua University, Beijing, China

2. Qing Yuan Research Institute, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Tsinghua EE Xilinx AI Research Fund

Beijing National Research Center for Information Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Reference43 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators;IEEE Transactions on Computers;2024-08

2. M2M: A Fine-Grained Mapping Framework to Accelerate Multiple DNNs on a Multi-Chiplet Architecture;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024

3. A High-Performance and Energy-Efficient Photonic Architecture for Multi-DNN Acceleration;IEEE Transactions on Parallel and Distributed Systems;2024-01

4. Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

5. DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

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