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

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721 to 730 of 1,095 Results
get_flops_params_with_lut.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: 192af5c0ea698c0b0a75e63f031e07c5
get_latency_with_lut.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 12.7 KB - MD5: 8dbdb8674902d6b009a0075ac2d76129
imagenet_sample.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 2.9 KB - MD5: c8e76eb585adab92b9b8fc10a7ca933d
LICENSE
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Plain Text - 11.1 KB - MD5: 86d3f3a95c324c9479bd8986968f4327
merge_conv_bn.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 2.9 KB - MD5: c69a1c7b982c0093bcc7d9100e0d061d
network_adaptive.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 19.0 KB - MD5: cd9a59eb74fcd86788afce56811607fc
network_adaptive_sbn.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: 2338b691e779cba621f0e1a6b43fbac6
network.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 17.4 KB - MD5: 85329a302575497fbed3356cb8509e5d
network_wo_bn.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 16.0 KB - MD5: 744834525e47c78691d5e5be4e6e94c1
search_supernet.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 12.6 KB - MD5: c59399cde0d5262931fcfd46da6dfc0d
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