LIU Weichen

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 30 of 31 Results

Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration Mar 30, 2023 - Huai Shuo Huai, Shuo; Liu, Weichen, 2023, "Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration", https://doi.org/10.21979/N9/OVGZZ1, DR-NTU (Data), V1 Codes for "Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration"
Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations May 12, 2022 - Zhu Shien Zhu, Shien; Li, Shiqing; Liu, Weichen, 2022, "Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations", https://doi.org/10.21979/N9/JNFW9P, DR-NTU (Data), V2, UNF:6:L3+xW/BxBE6fYNWBm4ta6Q== [fileUNF] The simulation code, experiment results, and graphs used in the GLSVLSI 2022 paper: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations
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"
Chen Hui (Nanyang Technological University) Mar 7, 2022 Appointment: Research Associate (Former)
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"
Huai Shuo (Nanyang Technological University) Mar 7, 2022 Appointment: PhD Student
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.

Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration

Mar 30, 2023 - Huai Shuo

Huai, Shuo; Liu, Weichen, 2023, "Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration", https://doi.org/10.21979/N9/OVGZZ1, DR-NTU (Data), V1

Codes for "Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration"

Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

May 12, 2022 - Zhu Shien

Zhu, Shien; Li, Shiqing; Liu, Weichen, 2022, "Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations", https://doi.org/10.21979/N9/JNFW9P, DR-NTU (Data), V2, UNF:6:L3+xW/BxBE6fYNWBm4ta6Q== [fileUNF]

The simulation code, experiment results, and graphs used in the GLSVLSI 2022 paper: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

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"

Chen Hui (Nanyang Technological University)

Mar 7, 2022

Appointment: Research Associate (Former)

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"

Huai Shuo (Nanyang Technological University)

Mar 7, 2022

Appointment: PhD Student

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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