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

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731 to 740 of 1,095 Results
space_prune_1st.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 17.7 KB - MD5: 6ce73b4d67a8e87e431b5e9d82f76dd3
space_prune_2nd.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 18.0 KB - MD5: bbabaa92f77e3ba3e53d5b9e2664f994
train_imagenet_adaptive.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 21.3 KB - MD5: c31db61e00d18020e69e8d54f0dc2616
train_imagenet_adaptive_sbn.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 23.0 KB - MD5: 26833e3426aea43538c2fc021b939459
train_imagenet_adaptive_sbn_wosd.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: 309e6f39584d13e716356e5d625a8806
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
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