Research topics:
• Embedded and Real-Time Systems
• Many-Core Systems
• Electronic/Photonic Network-on-Chip
• Machine Learning Acceleration
• Computer Architecture

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Adobe PDF - 11.3 KB - MD5: 55ea054f7a0e093dcf362c95bd394221
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Dec 14, 2023 - Kong Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators", https://doi.org/10.21979/N9/NT2HXS, DR-NTU (Data), V1, UNF:6:vfraJpp92Ek2OdfPAVmxeg== [fileUNF]
This is the program source code for the publication "EDLAB: A Benchmark for Edge Deep Learning Accelerators"
Python Source Code - 1.7 KB - MD5: 9a44fcdcab9dd277e0eed7930a91e8af
Python Source Code - 8.0 KB - MD5: 1dfa59bbe8922939af097fdbea31b09b
Python Source Code - 9.0 KB - MD5: 6af95ceacd08c40e1ce205d8b5e232a8
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