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101 to 110 of 227 Results
Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Dec 14, 2023 - Zhu Shien
Zhu, Shien; Duong, H. K. Luan; Chen, Hui; Di, Liu; Liu, Weichen, 2023, "Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks", https://doi.org/10.21979/N9/DYKUPV, DR-NTU (Data), V1, UNF:6:UCCl9ySs+IN5trVkl2AGQQ== [fileUNF]
This dataset contains the codes, figures, and tables for the TCAD 2022 paper: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks.
Related data for: An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning
Dec 14, 2023 - LI Shiqing
Li, Shiqing, 2023, "Related data for: An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning", https://doi.org/10.21979/N9/MTHKVG, DR-NTU (Data), V1
Training procedure of the paper
Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI
Dec 14, 2023 - Kong Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI", https://doi.org/10.21979/N9/GCAMZH, DR-NTU (Data), V1
This is the source code repository for the publication "EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI".
Related data for attacks on MR-based sensing in photonic NoCs
Dec 14, 2023 - Zhou Edo Jun
Zhou, Edo Jun, 2023, "Related data for attacks on MR-based sensing in photonic NoCs", https://doi.org/10.21979/N9/QCCDO2, DR-NTU (Data), V1, UNF:6:jFMY/5WXBKZ44ox8sUHjsA== [fileUNF]
Related date used in the specific submitted/accepted publication in IEEE ISVLSI.
Related data for attack mitigation for thermal sensing in photonic NoCs
Related data for attack mitigation for thermal sensing in photonic NoCs
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.
Replication Data for: Reduced Worst-Case Communication Latency Using Single-Cycle Multi-Hop Traversal Network-on-Chip
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.
Related data for: Lightweight Thermal Monitoring in Optical Networks-on-Chip via Router Reuse
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.
Related data for: Contention-aware Routing for Thermal-Reliable Optical Networks-on-Chip
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
Related data for: DATE2019-Thermal sensing using micro-ring resonators in optical network-on-chip
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...
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...
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