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

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layer_4_-1.pdf
layer_4_-1.pdf
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Adobe PDF - 17.4 KB - MD5: 2bc9e8852bdae8b631ef2360f20d6960
layer_6-1.pdf
layer_6-1.pdf
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Adobe PDF - 15.4 KB - MD5: 935ca9cb57474fe58374f8174c21b9e9
layer_6_-1.pdf
layer_6_-1.pdf
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Adobe PDF - 17.1 KB - MD5: a7563c75049aad7a1e181a43bafddf9d
layer_8-1.pdf
layer_8-1.pdf
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Adobe PDF - 20.9 KB - MD5: 864fd8f3c03166c303b10c3d71ffaf7b
layer_8_-1.pdf
layer_8_-1.pdf
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Adobe PDF - 17.4 KB - MD5: d1f9dd0f192af86cf723d4c8535f7f9c
LICENSE-1.md
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Markdown Text - 29 B - MD5: a81efa0dde3546f7aeabe937b01a7555
load_mat-1.py
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Python Source Code - 502 B - MD5: 2c5fcae96a8a2186ce91af5a3f534aa9
main-1.py
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Python Source Code - 17.5 KB - MD5: d6a94ef75f7965c1bdfd29d03106d169
main_conv_timeline_1-1.py
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Python Source Code - 4.1 KB - MD5: 4f33a279e4e9fbc401d9dae7c8b9ad2c
misc-1.xml
Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
XML - 267 B - MD5: 12f16cb7acc772f3a848a25b3fb36bd7
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