Appointment: Nanyang Assistant Professor

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

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21 to 26 of 26 Results
Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge
May 10, 2022 - Zhu Shien
Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2022, "Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge", https://doi.org/10.21979/N9/RZ75BY, DR-NTU (Data), V1, UNF:6:Md7is6scgmHZ4O3PtUuAOg== [fileUNF]
The TAB experiment code running on ARM CPU, x86 CPU, and Nvidia GPU.
ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission
Mar 7, 2022 - Chen Hui
Chen, Hui, 2022, "ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission", https://doi.org/10.21979/N9/18DIB5, DR-NTU (Data), V1
This dataverse contains the codes for TCAD-21: "ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission"
Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs
Mar 7, 2022 - Chen Hui
Chen, Hui, 2022, "Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs", https://doi.org/10.21979/N9/8NHU9V, DR-NTU (Data), V1
This dataverse contains the codes for GLSVLSI-21: "Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs"
MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems
Mar 7, 2022 - Chen Hui
Chen, Hui, 2022, "MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems", https://doi.org/10.21979/N9/TGQNYS, DR-NTU (Data), V1
This dataverse contains the codes for TECS-21: "MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems"
ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems
ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems
Mar 7, 2022 - Huai Shuo
Shuo, Huai; Liu, Weichen, 2022, "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems", https://doi.org/10.21979/N9/IRNJ4I, DR-NTU (Data), V1, UNF:6:+jmG0vdNb5kvT4IJ3OJAeA== [fileUNF]
Codes and data for "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems"
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
Dec 21, 2020 - Zhu Shien
Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2020, "Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices", https://doi.org/10.21979/N9/XEH3D1, DR-NTU (Data), V1, UNF:6:5DOBB66c624HMnkRD7Qw9g== [fileUNF]
Accepted as a conference paper by IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2020.
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