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

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641 to 650 of 1,000 Results
train_imagenet_adaptive_sbn_wsd.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 30.8 KB - MD5: 13ed3161fb636d07ea1fa6cc9ab2e0ec
train_imagenet.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 19.1 KB - MD5: ad321d75a3060d4d184e6986d2441e31
train_supernet_tune_stage1.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 20.5 KB - MD5: 4e7be3aa49b48ec575e6bda4d1bd1074
train_supernet_tune_stage2.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 21.4 KB - MD5: 3efe26b038f297f0487f648000f2e718
train_supernet_tune_stage3.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 21.4 KB - MD5: 135a52f90b7ec2e30fac40681e0db691
utils.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 2.1 KB - MD5: 853c44fb9757b43748316a4e437dd42c
architect.py
Dec 13, 2023 - Related Data for: EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems
Python Source Code - 3.7 KB - MD5: d9a2df93c76059694c2f87c1e7103ba9
augment_cells.py
Dec 13, 2023 - Related Data for: EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems
Python Source Code - 1.2 KB - MD5: cc9077c8059e43d10516b7fbc08cb20a
augment_cnn.py
Dec 13, 2023 - Related Data for: EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems
Python Source Code - 3.3 KB - MD5: 05c37b9cbad308141426058cf784bb2d
augment.py
Dec 13, 2023 - Related Data for: EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems
Python Source Code - 6.1 KB - MD5: be367d542ff9ef14b53bd8b0b7621797
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