Metrics
981,929 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

41 to 50 of 417 Results
Related data for: TECS2019-Hardware-Software Collaborative Thermal Sensing in Optical Network-on-Chip Based Manycore Systems
Dec 14, 2023 - Li Mengquan
Li, Mengquan; Liu, Weichen, 2023, "Related data for: TECS2019-Hardware-Software Collaborative Thermal Sensing in Optical Network-on-Chip Based Manycore Systems", https://doi.org/10.21979/N9/9EKPP2, DR-NTU (Data), V1
Continuous technology scaling in manycore systems leads to severe overheating issues. To guarantee system reliability, it is critical to accurately yet efficiently monitor runtime temperature distribution for effective chip thermal management. As an emerging communication archite...
Li Mengquan(Nanyang Technological University)
Dec 14, 2023College of Computing and Data Science (CCDS)
Appointment:Project officer Research topics: • Optical Network-on-chip • Nanophotonic computing
Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Dec 14, 2023 - Kong Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs", https://doi.org/10.21979/N9/KSXK4T, DR-NTU (Data), V1
This is the source code repository for the publication "HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs".
Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators
Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators
Dec 14, 2023 - Kong Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators", https://doi.org/10.21979/N9/NT2HXS, DR-NTU (Data), V1, UNF:6:vfraJpp92Ek2OdfPAVmxeg== [fileUNF]
This is the program source code for the publication "EDLAB: A Benchmark for Edge Deep Learning Accelerators"
Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware
Dec 14, 2023 - Kong Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware", https://doi.org/10.21979/N9/NB6FU2, DR-NTU (Data), V1
This dataset is created to store the related data of the following published paper: Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu*, Ravi Subramaniam, Christian Makaya, Qian Lin, “Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hard...
Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Dec 14, 2023 - Kong Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI", https://doi.org/10.21979/N9/HGFYTJ, DR-NTU (Data), V1, UNF:6:YowCvL3Bn3yfomoWb2+WPg== [fileUNF]
This dataset is created to restore the related data of the following published paper: Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu*, “EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI”, ACM/IEEE De...
Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Dec 14, 2023 - Kong Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning", https://doi.org/10.21979/N9/BTNOJN, DR-NTU (Data), V1, UNF:6:YowCvL3Bn3yfomoWb2+WPg== [fileUNF]
This dataset is created to store the related data of the following published paper: Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu*, “Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional...
Kong Hao(Nanyang Technological University)
Dec 14, 2023Liu Weichen's Team
Appointment: PhD Student
Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Dec 13, 2023 - Luo Xiangzhong
Luo, Xiangzhong; Liu, Weichen, 2023, "Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond", https://doi.org/10.21979/N9/GZJ0PW, DR-NTU (Data), V1
The related data for "Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond".
Related Data for: EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems
Dec 13, 2023 - Luo Xiangzhong
Luo, Xiangzhong; Liu, Di; Kong, Hao; Liu, Weichen, 2023, "Related Data for: EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems", https://doi.org/10.21979/N9/L2QVIV, DR-NTU (Data), V1
The related data for "EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems".
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.