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

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711 to 720 of 1,095 Results
width_pruner_resnet50.yaml
Dec 14, 2023 - Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Unknown - 539 B - MD5: c1f5d09fde235ac1d4d46cacc1d8be4f
width_resnet50.tab
Dec 14, 2023 - Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Tabular Data - 3.3 KB - 11 Variables, 100 Observations - UNF:6:/yqxOdOsdrrzyEMQEXidNA==
width_resnet50.yaml
Dec 14, 2023 - Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Unknown - 296 B - MD5: fb8bf30e1a6b0c439c906e61e70f8562
wo-ines_ites.yaml
Dec 14, 2023 - Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Unknown - 604 B - MD5: d1aa5f61dd931e6c573e5919b1e3c719
wo-ines_wo-ites.yaml
Dec 14, 2023 - Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Unknown - 587 B - MD5: 1a185a80e4bc69ce37819b355b0996b6
KONG Hao(Nanyang Technological University)
Dec 14, 2023
autoaugment.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 5.7 KB - MD5: 5e14dca796d998dfb0d0dcc3e29fe317
blocks_adaptive_sbn.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 23.9 KB - MD5: 54033e2028b5b9328d41e5bb450eaddc
blocks.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: d2b9f313d829298a2acbe5197958dfa7
ea_engine.py
Dec 13, 2023 - Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Python Source Code - 14.8 KB - MD5: 7691d9d7fcc9dcca2ee492a10b54441d
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