101 to 110 of 223 Results
Dec 14, 2023 - Zhou Edo Jun
Zhou, Edo Jun, 2023, "Related data for attack mitigation for thermal sensing in photonic NoCs", https://doi.org/10.21979/N9/GFL9UL, DR-NTU (Data), V1, UNF:6:tUzR60Ug5eOZ8ETRb9oD/A== [fileUNF]
Related data used in the specific submitted/accepted paper in ACM JETC. |
Dec 14, 2023 - Peng Chen
Chen, Peng, 2023, "Replication Data for: Reduced Worst-Case Communication Latency Using Single-Cycle Multi-Hop Traversal Network-on-Chip", https://doi.org/10.21979/N9/WIQKUF, DR-NTU (Data), V1
This dataset contains the keycodes of this paper. |
Dec 14, 2023 - Li Mengquan
Li, Mengquan; Liu, Weichen, 2023, "Related data for: Lightweight Thermal Monitoring in Optical Networks-on-Chip via Router Reuse", https://doi.org/10.21979/N9/O2VA8M, DR-NTU (Data), V1
Conference paper: “Mengquan Li, Jun Zhou, and Weichen Liu, "Lightweight Thermal Monitoring in Optical Networks-on-Chip via Router Reuse” in Design, Automation and Test in Europe Conference (DATE), 2020. |
Dec 14, 2023 - Li Mengquan
Li, Mengquan; Liu, Weichen, 2023, "Related data for: Contention-aware Routing for Thermal-Reliable Optical Networks-on-Chip", https://doi.org/10.21979/N9/FUJ0OE, DR-NTU (Data), V1
Journal paper: Mengquan Li, Weichen Liu, Luan H.K. Duong, Peng Chen, and Lei Yang, “Contention-aware Routing for Thermal-Reliable Optical Networks-on-Chip”, accepted in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020 |
Dec 14, 2023 - Li Mengquan
Li, Mengquan; Liu, Weichen, 2023, "Related data for: DATE2019-Thermal sensing using micro-ring resonators in optical network-on-chip", https://doi.org/10.21979/N9/2Q2QXP, DR-NTU (Data), V1
In this paper, we for the first time utilize the micro-ring resonators (MRs) in optical networks-on-chip (ONoCs) to implement thermal sensing without requiring additional hardware or chip area. The challenges in accuracy and reliability that arise from fabrication-induced process... |
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... |
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". |
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" |
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... |
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... |
