Deep Learning on High Performance FPGA Switching Boards: Flow-in-Cloud

Author:

Musha KazusaORCID,Kudoh Tomohiro,Amano Hideharu

Publisher

Springer International Publishing

Cited by 11 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. Board Allocation Algorithm for the Resource Management System of FiC;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

2. A cost/power efficient storage system with directly connected FPGA and SATA disks;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

3. Power Analysis and Power Modeling of Directly-Connected FPGA Clusters;IEICE Transactions on Information and Systems;2023-12-01

4. Toward a training of CNNs on a multi-FPGA system;2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW);2022-11

5. Power Analysis of Directly-connected FPGA Clusters;2022 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS);2022-04-20

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