Weng-Fai Wong - RankMe

227 papers A* 21A 27B 17C 11Misc 11Journal 103Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Energy-Efficient and Dequantization-Free Quantization of LLMs: A Spiking Neural Network Approach to Salient Value Mitigation. WWW Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen, Weng-Fai Wong
2026	J	`jnl`	Geometric Partition for Billion-Scale Approximate Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. Yujian Fu, Cheng Chen, Yao Chen, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	Incremental GNN Embedding Computation on Streaming Graphs. CoRR Qiange Wang, Haoran Lv, Yanfeng Zhang, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	Kirin: Improving ANN efficiency with SNN Hybridization. CoRR Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen, Weng-Fai Wong
2026	J	`jnl`	MHRC-Bench: A Multilingual Hardware Repository-Level Code Completion benchmark. CoRR Qingyun Zou, Jiahao Cui, Nuo Chen, Bingsheng He, Weng-Fai Wong
2026	J	`jnl`	Matterhorn: Efficient Analog Sparse Spiking Transformer Architecture with Masked Time-To-First-Spike Encoding. CoRR Zhanglu Yan, Kaiwen Tang, Zixuan Zhu, Zhenyu Bai, Qianhui Liu, Weng-Fai Wong
2026	J	`jnl`	QoS Awareness and Improved Throughput of Point Cloud Services With Dynamic Workloads. IEEE Trans. Computers Kaihua Fu, Jiuchen Shi, Yao Chen, Quan Chen, Weng-Fai Wong, Wei Wang, Bingsheng He, Minyi Guo
2026	A*	`conf`	RidgeWalker: Perfectly Pipelined Graph Random Walks on FPGAs. HPCA Hongshi Tan, Yao Chen, Xinyu Chen, Qizhen Zhang, Cheng Chen, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	RidgeWalker: Perfectly Pipelined Graph Random Walks on FPGAs. CoRR Hongshi Tan, Yao Chen, Xinyu Chen, Qizhen Zhang, Cheng Chen, Weng-Fai Wong, Bingsheng He
2026	J	`jnl`	SpikySpace: A Spiking State Space Model for Energy-Efficient Time Series Forecasting. CoRR Kaiwen Tang, Jiaqi Zheng, Yuze Jin, Yupeng Qiu, Guangda Sun, Zhanglu Yan, Weng-Fai Wong
2026	J	`jnl`	Texplorer: Efficient Tensor Program Optimization for GPUs Using a Highly Constrained Search Space. IEEE Trans. Parallel Distributed Syst. Wei Li, Bin Gao, Weng-Fai Wong
2025	J	`jnl`	Clementi: Efficient Load Balancing and Communication Overlap for Multi-FPGA Graph Processing. Proc. ACM Manag. Data Feng Yu, Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2025	A*	`conf`	Configurable DSP-Based CAM Architecture for Data-Intensive Applications on FPGAs. DAC Yao Chen, Feng Yu, Di Wu, Weng-Fai Wong, Bingsheng He
2025	J	`jnl`	Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing. Proc. VLDB Endow. Qiange Wang, Yongze Yan, Hongshi Tan, Cheng Chen, Cheng Zhao, Jiaming Tian, Jiaxin Jiang, Xiaoliang Cong, Yanfeng Zhang, Ge Yu, Weng-Fai Wong, Bingsheng He
2025	J	`jnl`	Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. IEEE Trans. Pattern Anal. Mach. Intell. Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong
2025	J	`jnl`	Energy-Efficient and Dequantization-Free Q-LLMs: A Spiking Neural Network Approach to Salient Value Mitigation. CoRR Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen, Weng-Fai Wong
2025	J	`jnl`	HLStrans: Dataset for LLM-Driven C-to-HLS Hardware Code Synthesis. CoRR Qingyun Zou, Nuo Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2025	J	`jnl`	Low Latency Conversion of Artificial Neural Network Models to Rate-Encoded Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zhanglu Yan, Kaiwen Tang, Jun Zhou, Weng-Fai Wong
2025	A*	`conf`	Online Context Caching for Distributed Large Language Models Serving. INFOCOM Bin Gao, Zhuomin He, Yizhen Yao, Zhanzhi Lou Lou, Zhi Zhou, Weng-Fai Wong
2025	A	`conf`	Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration. ICCAD Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2025	J	`jnl`	Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration. CoRR Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2025	J	`jnl`	Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding. CoRR Zhanglu Yan, Jiayi Mao, Qianhui Liu, Fanfan Li, Gang Pan, Tao Luo, Bowen Zhu, Weng-Fai Wong
2025	—	`conf`	ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU. KDD (1) Borui Xu, Zeyi Wen, Yao Chen, Weiguo Liu, Weng-Fai Wong, Bingsheng He
2025	J	`jnl`	Scalable and Load-Balanced Full-Graph GNN Training on Multiple GPUs. IEEE Trans. Knowl. Data Eng. Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2025	A*	`conf`	Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model. ICML Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong
2025	J	`jnl`	TL: Automatic End-to-End Compiler of Tile-Based Languages for Spatial Dataflow Architectures. CoRR Wei Li, Zhenyu Bai, Heru Wang, Pranav Dangi, Zhiqiang Zhang, Cheng Tan, Huiying Lan, Weng-Fai Wong, Tulika Mitra
2025	A*	`conf`	Vista: Vector Indexing and Search for Large-Scale Imbalanced Datasets. ICDE Yujian Fu, Cheng Chen, Yao Chen, Weng-Fai Wong, Bingsheng He
2024	J	`jnl`	1.63 pJ/SOP Neuromorphic Processor With Integrated Partial Sum Routers for In-Network Computing. IEEE Trans. Very Large Scale Integr. Syst. Dongrui Li, Ming Ming Wong, Yi Sheng Chong, Jun Zhou, Mohit Upadhyay, Ananta Narayanan Balaji, Aarthy Mani, Weng-Fai Wong, Li-Shiuan Peh, Anh Tuan Do, Bo Wang
2024	J	`jnl`	Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. CoRR Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong
2024	B	`conf`	IMI: In-memory Multi-job Inference Acceleration for Large Language Models. ICPP Bin Gao, Zhehui Wang, Zhuomin He, Tao Luo, Weng-Fai Wong, Zhi Zhou
2024	J	`jnl`	Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences. CoRR Zhanglu Yan, Weiran Chu, Yuhua Sheng, Kaiwen Tang, Shida Wang, Yanfeng Liu, Weng-Fai Wong
2024	A	`conf`	NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator. DATE Mohit Upadhyay, Rohan Juneja, Weng-Fai Wong, Li-Shiuan Peh
2024	J	`jnl`	NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator. CoRR Mohit Upadhyay, Rohan Juneja, Weng-Fai Wong, Li-Shiuan Peh
2024	B	`conf`	OneSpike: Ultra-low latency spiking neural networks. IJCNN Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong
2024	J	`jnl`	Optimizing for In-Memory Deep Learning With Emerging Memory Technology. IEEE Trans. Neural Networks Learn. Syst. Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
2024	J	`jnl`	Optimizing the Number of Clusters for Billion-Scale Quantization-Based Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. Yujian Fu, Cheng Chen, Xiaohui Chen, Weng-Fai Wong, Bingsheng He
2024	J	`jnl`	Reconsidering the energy efficiency of spiking neural networks. CoRR Zhanglu Yan, Zhenyu Bai, Weng-Fai Wong
2024	J	`jnl`	Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model. CoRR Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong
2024	J	`jnl`	SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification. CoRR Zhanglu Yan, Zhenyu Bai, Tulika Mitra, Weng-Fai Wong
2024	A	`conf`	T-Edge: Trusted Heterogeneous Edge Computing. ACSAC Jiamin Shen, Yao Chen, Weng-Fai Wong, Ee-Chien Chang
2024	J	`jnl`	T-Edge: Trusted Heterogeneous Edge Computing. CoRR Jiamin Shen, Yao Chen, Weng-Fai Wong, Ee-Chien Chang
2024	A	`conf`	Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. FPGA Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2024	J	`jnl`	Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. CoRR Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2023	C	`conf`	1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing. ISCAS Bo Wang, Ming Ming Wong, Dongrui Li, Yi Sheng Chong, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh, Aarthy Mani, Mohit Upadhyay, Ananta Narayanan Balaji, Anh Tuan Do
2023	J	`jnl`	Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing. Commun. ACM Tao Luo, Weng-Fai Wong, Rick Siow Mong Goh, Anh Tuan Do, Zhixian Chen, Haizhou Li, Wenyu Jiang, Weiyun Yau
2023	—	`conf`	Bedot: Bit Efficient Dot Product for Deep Generative Models. CoNGA Nhut-Minh Ho, Duy Thanh Nguyen, John L. Gustafson, Weng-Fai Wong
2023	J	`jnl`	Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases. IEEE Trans. Computers Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
2023	J	`jnl`	CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2023	J	`jnl`	DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. CoRR Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
2023	J	`jnl`	DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. IEEE Trans. Computers Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
2023	J	`jnl`	Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity. Neurocomputing Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
2023	—	`conf`	Efficient Hyperdimensional Computing. ECML/PKDD (2) Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
2023	J	`jnl`	Efficient Hyperdimensional Computing. CoRR Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
2023	J	`jnl`	HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading). CoRR Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2023	J	`jnl`	HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. Proc. ACM Manag. Data Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2023	J	`jnl`	HyperSNN: A new efficient and robust deep learning model for resource constrained control applications. CoRR Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
2023	J	`jnl`	LightRW: FPGA Accelerated Graph Dynamic Random Walks. CoRR Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2023	J	`jnl`	LightRW: FPGA Accelerated Graph Dynamic Random Walks. Proc. ACM Manag. Data Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2023	A*	`conf`	OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. ICDE Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, Andy Rudoff
2023	J	`jnl`	Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong
2023	—	`conf`	Towards a Better 16-Bit Number Representation for Training Neural Networks. CoNGA Himeshi De Silva, Hongshi Tan, Nhut-Minh Ho, John L. Gustafson, Weng-Fai Wong
2022	J	`jnl`	Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases. CoRR Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140]. Neurocomputing Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity. CoRR Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks. CoRR Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2022	J	`jnl`	NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tao Luo, Liwei Yang, Huaipeng Zhang, Chuping Qu, Xuan Wang, Yingnan Cui, Weng-Fai Wong, Rick Siow Mong Goh
2022	—	`conf`	Network-on-Chip-Centric Accelerator Architectures for Edge AI Computing. ISOCC Bo Wang, Ke Dong, Nurul Akhira Binte Zakaria, Mohit Upadhyay, Weng-Fai Wong, Li-Shiuan Peh
2022	—	`conf`	Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. CoNGA Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
2022	A*	`conf`	REACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables. DAC Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
2022	A*	`conf`	ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. MICRO Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong
2022	J	`jnl`	ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. CoRR Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong
2022	J	`jnl`	Tensorox: Accelerating GPU Applications via Neural Approximation on Unused Tensor Cores. IEEE Trans. Parallel Distributed Syst. Nhut-Minh Ho, Weng-Fai Wong
2022	J	`jnl`	ThunderGP: Resource-Efficient Graph Processing Framework on FPGAs with HLS. ACM Trans. Reconfigurable Technol. Syst. Xinyu Chen, Feng Cheng, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
2021	J	`jnl`	DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications. CoRR Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Siow Mong Goh
2021	B	`conf`	DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays. FPL Myat Thu Linn Aung, Chuping Qu, Liwei Yang, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
2021	J	`jnl`	Energy efficient ECG classification with spiking neural network. Biomed. Signal Process. Control. Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2021	J	`jnl`	GRAM: A Framework for Dynamically Mixing Precisions in GPU Applications. ACM Trans. Archit. Code Optim. Nhut-Minh Ho, Himeshi De Silva, Weng-Fai Wong
2021	A*	`conf`	Near Lossless Transfer Learning for Spiking Neural Networks. AAAI Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2021	J	`jnl`	OBET: On-the-Fly Byte-Level Error Tracking for Correcting and Detecting Faults in Unreliable DRAM Systems. Sensors Duy Thanh Nguyen, Nhut-Minh Ho, Weng-Fai Wong, Ik-Joon Chang
2021	J	`jnl`	Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. Proc. VLDB Endow. Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-Fai Wong, Guoan Wu, Yuping Zhao, Andy Rudoff
2021	J	`jnl`	Optimizing for In-memory Deep Learning with Emerging Memory Technology. CoRR Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
2021	A	`conf`	Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks. DATE Nhut-Minh Ho, Duy Thanh Nguyen, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong, Ik Joon Chang
2021	A*	`conf`	Skew-Oblivious Data Routing for Data Intensive Applications on FPGAs with HLS. DAC Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
2021	J	`jnl`	Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS. CoRR Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
2021	J	`jnl`	Synthesis of the Dynamical Properties of Feedback Loops in Bio-Pathways. IEEE ACM Trans. Comput. Biol. Bioinform. Jun Zhou, R. Ramanathan, Weng-Fai Wong
2021	J	`jnl`	ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs. CoRR Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2021	A	`conf`	ThundeRiNG: generating multiple independent random number sequences on FPGAs. ICS Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2021	A	`conf`	ThunderGP: HLS-based Graph Processing Framework on FPGAs. FPGA Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
2021	J	`jnl`	ZEM: Zero-Cycle Bit-Masking Module for Deep Learning Refresh-Less DRAM. IEEE Access Duy Thanh Nguyen, Nhut-Minh Ho, Minh-Son Le, Weng-Fai Wong, Ik-Joon Chang
2020	J	`jnl`	An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tao Luo, Xuan Wang, Chuping Qu, Matthew Kay Fei Lee, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
2020	A	`conf`	Is FPGA Useful for Hash Joins? CIDR Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen
2020	—	`conf`	NCPower: Power Modelling for NVM-based Neuromorphic Chip. ICONS Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh-Tuan Do, Paramasivam Vishnu, Wei Zhang, Rick Siow Mong Goh
2020	J	`jnl`	NV-Journaling: Locality-Aware Journaling Using Byte-Addressable Non-Volatile Memory. IEEE Trans. Computers Cheng Chen, Qingsong Wei, Weng-Fai Wong, Chundong Wang
2020	A	`conf`	Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip. DATE Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
2019	J	`jnl`	A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips. ACM Trans. Archit. Code Optim. Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
2019	B	`conf`	ApproxSymate: path sensitive program approximation using symbolic execution. LCTES Himeshi De Silva, Andrew E. Santosa, Nhut-Minh Ho, Weng-Fai Wong
2019	—	`ch.`	Compilation and Other Software Techniques Enabling Approximate Computing. Approximate Circuits Weng-Fai Wong, Pooja Roy, Rajashi Ray, Nhut-Minh Ho
2019	J	`jnl`	Fault Tolerant Stencil Computation on Cloud-Based GPU Spot Instances. IEEE Trans. Cloud Comput. Jun Zhou, Yan Zhang, Weng-Fai Wong
2019	J	`jnl`	MemepiC: Towards a Unified In-Memory Big Data Management System. IEEE Trans. Big Data Qingchao Cai, Hao Zhang, Wentian Guo, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Weng-Fai Wong
2019	A	`conf`	Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices. DATE Nhut-Minh Ho, Ramesh Vaddi, Weng-Fai Wong
2019	B	`conf`	On-The-Fly Parallel Data Shuffling for Graph Processing on OpenCL-Based FPGAs. FPL Xinyu Chen, Ronak Bajaj, Yao Chen, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen
2019	C	`conf`	Resource Efficient Personalized ECG Beat Classification via Temporal Logic Synthesis. BIBE Jun Zhou, Weng-Fai Wong
2019	J	`jnl`	Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip. CoRR Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
2018	A*	`conf`	Gloss: Seamless Live Reconfiguration and Reoptimization of Stream Programs. ASPLOS Sumanaruban Rajadurai, Jeffrey Bosboom, Weng-Fai Wong, Saman P. Amarasinghe
2018	Misc	`conf`	Making Strassen Matrix Multiplication Safe. HiPC Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
2017	—	`conf`	Automated Property Synthesis of ODEs Based Bio-pathways Models. CMSB Jun Zhou, R. Ramanathan, Weng-Fai Wong, P. S. Thiagarajan
2017	—	`conf`	Efficient floating point precision tuning for approximate computing. ASP-DAC Nhut-Minh Ho, Elavarasi Manogaran, Weng-Fai Wong, Asha Anoosheh
2017	—	`conf`	Exploiting half precision arithmetic in Nvidia GPUs. HPEC Nhut-Minh Ho, Weng-Fai Wong
2017	A*	`conf`	Parallelizing Skip Lists for In-Memory Multi-Core Database Systems. ICDE Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong
2016	J	`jnl`	Exploiting Single-Threaded Model in Multi-Core In-Memory Systems. IEEE Trans. Knowl. Data Eng. Chang Yao, Divyakant Agrawal, Gang Chen, Qian Lin, Beng Chin Ooi, Weng-Fai Wong, Meihui Zhang
2016	J	`jnl`	PI : a Parallel in-memory skip list based Index. CoRR Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong
2016	J	`jnl`	TreeFTL: An Efficient Workload-Adaptive Algorithm for RAM Buffer Management of NAND Flash-Based Devices. IEEE Trans. Computers Chundong Wang, Weng-Fai Wong
2015	A*	`conf`	"Anti-Caching"-based elastic memory management for Big Data. ICDE Hao Zhang, Gang Chen, Beng Chin Ooi, Weng-Fai Wong, Shensen Wu, Yubin Xia
2015	J	`jnl`	3DFTL: a three-level demand-based translation strategy for flash device. IEICE Electron. Express Peera Thontirawong, Chundong Wang, Weng-Fai Wong, Mongkol Ekpanyapong, Prabhas Chongstitvatana
2015	J	`jnl`	A Code Generation Framework for Targeting Optimized Library Calls for Multiple Platforms. IEEE Trans. Parallel Distributed Syst. Wen Jun Tan, Wai Teng Tang, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
2015	J	`jnl`	A Family of Bit-Representation-Optimized Formats for Fast Sparse Matrix-Vector Multiplication on the GPU. IEEE Trans. Parallel Distributed Syst. Wai Teng Tang, Wen Jun Tan, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
2015	J	`jnl`	DGCC: A New Dependency Graph based Concurrency Control Protocol for Multicore Database Systems. CoRR Chang Yao, Divyakant Agrawal, Pengfei Chang, Gang Chen, Beng Chin Ooi, Weng-Fai Wong, Meihui Zhang
2015	J	`jnl`	In-memory Databases: Challenges and Opportunities From Software and Hardware Perspectives. SIGMOD Rec. Kian-Lee Tan, Qingchao Cai, Beng Chin Ooi, Weng-Fai Wong, Chang Yao, Hao Zhang
2015	J	`jnl`	Multi-agent simulation on multiple GPUs. Simul. Model. Pract. Theory N. M. Ho, N. Thoai, Weng-Fai Wong
2015	Misc	`conf`	PAC: Program Analysis for Approximation-aware Compilation. CASES Pooja Roy, Jianxing Wang, Weng-Fai Wong
2015	—	`conf`	Parallelized Parameter Estimation of Biological Pathway Models. HSB R. Ramanathan, Yan Zhang, Jun Zhou, Benjamin M. Gyori, Weng-Fai Wong, P. S. Thiagarajan
2014	—	`conf`	A coherent hybrid SRAM and STT-RAM L1 cache architecture for shared memory multicores. ASP-DAC Jianxing Wang, Yenni Tim, Weng-Fai Wong, Zhong-Liang Ong, Zhenyu Sun, Hai Li
2014	B	`conf`	ASAC: automatic sensitivity analysis for approximate computing. LCTES Pooja Roy, Rajarshi Ray, Chundong Wang, Weng-Fai Wong
2014	Misc	`conf`	EnVM: Virtual memory design for new memory architectures. CASES Pooja Roy, Manmohan Manoharan, Weng-Fai Wong
2014	J	`jnl`	Mapping Streaming Applications onto GPU Systems. IEEE Trans. Parallel Distributed Syst. Huynh Phung Huynh, Andrei Hagiescu, Zhong-Liang Ong, Weng-Fai Wong, Rick Siow Mong Goh
2014	C	`conf`	Optimizing MLC-based STT-RAM caches by dynamic block size reconfiguration. ICCD Jianxing Wang, Pooja Roy, Weng-Fai Wong, Xiuyuan Bi, Hai Li
2014	J	`jnl`	STT-RAM Cache Hierarchy With Multiretention MTJ Designs. IEEE Trans. Very Large Scale Integr. Syst. Zhenyu Sun, Xiuyuan Bi, Hai Li, Weng-Fai Wong, Xiaochun Zhu
2014	A	`conf`	StreamJIT: a commensal compiler for high-performance stream programming. OOPSLA Jeffrey Bosboom, Sumanaruban Rajadurai, Weng-Fai Wong, Saman P. Amarasinghe
2013	A	`conf`	A practical low-power memristor-based analog neural branch predictor. ISLPED Jianxing Wang, Yenni Tim, Weng-Fai Wong, Hai (Helen) Li
2013	A	`conf`	Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes. SC Wai Teng Tang, Wen Jun Tan, Rajarshi Ray, Yi Wen Wong, Weiguang Chen, Shyh-Hao Kuo, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
2013	J	`jnl`	GPU code generation for ODE-based applications with phased shared-data access patterns. ACM Trans. Archit. Code Optim. Andrei Hagiescu, Bing Liu, R. Ramanathan, Sucheendra K. Palaniappan, Zheng Cui, Bipasa Chattopadhyay, P. S. Thiagarajan, Weng-Fai Wong
2013	J	`jnl`	On-chip caches built on multilevel spin-transfer torque RAM cells and its optimizations. ACM J. Emerg. Technol. Comput. Syst. Yiran Chen, Weng-Fai Wong, Hai Li, Cheng-Kok Koh, Yaojun Zhang, Wujie Wen
2013	A	`conf`	Optimizing and Auto-Tuning Iterative Stencil Loops for GPUs with the In-Plane Method. IPDPS Wai Teng Tang, Wen Jun Tan, Ratna Krishnamoorthy, Yi Wen Wong, Shyh-Hao Kuo, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
2013	A*	`conf`	SAW: system-assisted wear leveling on the write endurance of NAND flash devices. DAC Chundong Wang, Weng-Fai Wong
2013	A	`conf`	TreeFTL: efficient RAM management for high performance of NAND flash-based storage systems. DATE Chundong Wang, Weng-Fai Wong
2012	Misc	`conf`	ADAPT: Efficient workload-sensitive flash management based on adaptation, prediction and aggregation. MSST Chundong Wang, Weng-Fai Wong
2012	—	`conf`	Abstract: Mapping Streaming Applications onto GPU Systems. SC Companion Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh, Abhishek Ray
2012	J	`jnl`	Approximate probabilistic analysis of biopathway dynamics. Bioinform. Bing Liu, Andrei Hagiescu, Sucheendra K. Palaniappan, Bipasa Chattopadhyay, Zheng Cui, Weng-Fai Wong, P. S. Thiagarajan
2012	B	`conf`	Automatic Refactoring of Legacy Fortran Code to the Array Slicing Notation. ICPADS Chandrasehar Rajaseharan, Wen Jun Tan, Wai Teng Tang, Stephen John Turner, Shyh-Hao Kuo, Rick Siow Mong Goh, Weng-Fai Wong
2012	A	`conf`	Extending the lifetime of NAND flash memory by salvaging bad blocks. DATE Chundong Wang, Weng-Fai Wong
2012	—	`conf`	Guppy: A GPU-like soft-core processor. FPT Abdullah Al-Dujaili, Florian Deragisch, Andrei Hagiescu, Weng-Fai Wong
2012	A*	`conf`	Observational wear leveling: an efficient algorithm for flash memory management. DAC Chundong Wang, Weng-Fai Wong
2012	—	`conf`	Poster: Automated Mapping Streaming Applications onto GPUs. SC Companion Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh, Abhishek Ray
2012	B	`conf`	Scalable framework for mapping streaming applications onto multi-GPU systems. PPoPP Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh
2012	—	`conf`	Tulipse: A Visualization Framework for User-Guided Parallelization. Euro-Par Yi Wen Wong, Tomasz Dubrownik, Wai Teng Tang, Wen Jun Tan, Rubing Duan, Rick Siow Mong Goh, Shyh-Hao Kuo, Stephen John Turner, Weng-Fai Wong
2011	A	`conf`	A UML 2-based hardware-software co-design framework for body sensor network applications. DATE Zhenxin Sun, Chi-Tsai Yeh, Weng-Fai Wong
2011	A	`conf`	Automated Architecture-Aware Mapping of Streaming Applications Onto GPUs. IPDPS Andrei Hagiescu, Huynh Phung Huynh, Weng-Fai Wong, Rick Siow Mong Goh
2011	A	`conf`	Co-synthesis of FPGA-based application-specific floating point simd accelerators. FPGA Andrei Hagiescu, Weng-Fai Wong
2011	B	`conf`	Dynamic cache contention detection in multi-threaded applications. VEE Qin Zhao, David Koh, Syed Raza, Derek Bruening, Weng-Fai Wong, Saman P. Amarasinghe
2011	J	`jnl`	Guest Editorial - BSN2010 Special Issue. IEEE Trans. Biomed. Circuits Syst. Yong Lian, Keck Voon Ling, Weng-Fai Wong
2011	J	`jnl`	Internet-based hardware/software co-design framework for embedded 3D graphics applications. EURASIP J. Adv. Signal Process. Chi-Tsai Yeh, Chun-Hao Wang, Ing-Jer Huang, Weng-Fai Wong
2011	A*	`conf`	Multi retention level STT-RAM cache designs with a dynamic refresh scheme. MICRO Zhenyu Sun, Xiuyuan Bi, Hai (Helen) Li, Weng-Fai Wong, Zhong-Liang Ong, Xiaochun Zhu, Wenqing Wu
2011	A	`conf`	Processor caches with multi-level spin-transfer torque ram cells. ISLPED Yiran Chen, Weng-Fai Wong, Hai Li, Cheng-Kok Koh
2010	Misc	`conf`	Interprocedural Placement-Aware Configuration Prefetching for FPGA-Based Systems. FCCM Joon Edward Sim, Weng-Fai Wong, Gregor Walla, Tobias Ziermann, Jürgen Teich
2010	J	`jnl`	PiPA: Pipelined profiling and analysis on multicore systems. ACM Trans. Archit. Code Optim. Qin Zhao, Ioana Cutcutache, Weng-Fai Wong
2009	A*	`conf`	A DVS-based pipelined reconfigurable instruction memory. DAC Zhiguo Ge, Tulika Mitra, Weng-Fai Wong
2009	—	`conf`	A UML-based approach for heterogeneous IP integration. ASP-DAC Zhenxin Sun, Weng-Fai Wong
2009	A*	`conf`	A computing origami: folding streams in FPGAs. DAC Andrei Hagiescu, Weng-Fai Wong, David F. Bacon, Rodric M. Rabbah
2009	A*	`conf`	Automatically patching errors in deployed software. SOSP Jeff H. Perkins, Sunghun Kim, Samuel Larsen, Saman P. Amarasinghe, Jonathan Bachrach, Michael Carbin, Carlos Pacheco, Frank Sherwood, Stelios Sidiroglou, Gregory T. Sullivan, Weng-Fai Wong, Yoav Zibin, Michael D. Ernst, Martin C. Rinard
2009	C	`conf`	BSN Simulator: Optimizing Application Using System Level Simulation. BSN Ioana Cutcutache, Thi Thanh Nga Dang, Wai Kay Leong, Shanshan Liu, Kathy Dang Nguyen, Linh Thi Xuan Phan, Joon Edward Sim, Zhenxin Sun, Teck Bok Tok, Lin Xu, Francis Eng Hock Tay, Weng-Fai Wong
2009	Misc	`conf`	Optimal Placement-aware Trace-Based Scheduling of Hardware Reconfigurations for FPGA Accelerators. FCCM Joon Edward Sim, Weng-Fai Wong, Jürgen Teich
2009	C	`conf`	The salvage cache: A fault-tolerant cache architecture for next-generation memory technologies. ICCD Cheng-Kok Koh, Weng-Fai Wong, Yiran Chen, Hai Li
2009	J	`jnl`	Tolerating process variations in large, set-associative caches: The buddy cache. ACM Trans. Archit. Code Optim. Cheng-Kok Koh, Weng-Fai Wong, Yiran Chen, Hai Li
2008	—	`conf`	Defining neighborhood relations for fast spatial-temporal partitioning of applications on reconfigurable architectures. FPT Joon Edward Sim, Tulika Mitra, Weng-Fai Wong
2008	J	`jnl`	Fast, frequency-based, integrated register allocation and instruction scheduling. Softw. Pract. Exp. Ioana Cutcutache, Weng-Fai Wong
2008	B	`conf`	How to Do a Million Watchpoints: Efficient Debugging Using Dynamic Instrumentation. CC Qin Zhao, Rodric M. Rabbah, Saman P. Amarasinghe, Larry Rudolph, Weng-Fai Wong
2008	A	`conf`	Pipa: pipelined profiling and analysis on multi-core systems. CGO Qin Zhao, Ioana Cutcutache, Weng-Fai Wong
2007	A	`conf`	A UML-Based Design Framework for Time-Triggered Applications. RTSS Kathy Dang Nguyen, P. S. Thiagarajan, Weng-Fai Wong
2007	—	`conf`	An Inter-Core Communication Enabled Multi-Core Simulator Based on SimpleScalar. AINA Workshops (1) Rongrong Zhong, Yongxin Zhu, Weiwei Chen, Mingliang Lin, Weng-Fai Wong
2007	A	`conf`	DRIM: a low power dynamically reconfigurable instruction memory hierarchy for embedded systems. DATE Zhiguo Ge, Weng-Fai Wong, Hock-Beng Lim
2007	J	`jnl`	Editorial for the Special Issue on Field Programmable Technology. J. VLSI Signal Process. Gordon J. Brebner, Samarjit Chakraborty, Weng-Fai Wong
2007	A	`conf`	Ubiquitous Memory Introspection. CGO Qin Zhao, Rodric M. Rabbah, Saman P. Amarasinghe, Larry Rudolph, Weng-Fai Wong
2007	C	`conf`	VOSCH: Voltage scaled cache hierarchies. ICCD Weng-Fai Wong, Cheng-Kok Koh, Yiran Chen, Hai Li
2006	—	`conf`	Co-optimization of Performance and Power in a Superscalar Processor Design. EUC Workshops Yongxin Zhu, Weng-Fai Wong, Stefan Andrei
2006	B	`conf`	DEP: detailed execution profile. PACT Qin Zhao, Joon Edward Sim, Weng-Fai Wong, Larry Rudolph
2006	—	`conf`	Generating hardware from OpenMP programs. FPT Y. Y. Leow, C. Y. Ng, Weng-Fai Wong
2005	C	`conf`	A Performance and Power Co-optimization Approach for Modern Processors. CIT Yongxin Zhu, Weng-Fai Wong, Cheng-Kok Koh
2005	B	`conf`	A Reconfigurable Instruction Memory Hierarchy for Embedded Systems. FPL Zhiguo Ge, Hock-Beng Lim, Weng-Fai Wong
2005	—	`conf`	An integrated performance and power model for superscalar processor designs. ASP-DAC Yongxin Zhu, Weng-Fai Wong, Stefan Andrei
2005	Misc	`conf`	Cooperative Instruction Scheduling with Linear Scan Register Allocation. HiPC Khaing Khaing Kyi Win, Weng-Fai Wong
2005	—	`conf`	Design of clocked circuits using UML. ASP-DAC Zhenxin Sun, Weng-Fai Wong, Yongxin Zhu, Santhosh Kumar Pilakkat
2005	J	`jnl`	Dynamic memory optimization using pool allocation and prefetching. SIGARCH Comput. Archit. News Qin Zhao, Rodric M. Rabbah, Weng-Fai Wong
2005	—	`ed.`	Proceedings of the 2005 IEEE International Conference on Field-Programmable Technology, FPT 2005, 11-14 December 2005, Singapore FPT Gordon J. Brebner, Samarjit Chakraborty, Weng-Fai Wong
2005	B	`conf`	Sensor Grid: Integration ofWireless Sensor Networks and the Grid. LCN Hock-Beng Lim, Yong Meng Teo, Protik Mukherjee, Vinh The Lam, Weng-Fai Wong, Simon See
2005	—	`conf`	Targeted Data Prefetching. Asia-Pacific Computer Systems Architecture Conference Weng-Fai Wong
2005	B	`conf`	Using UML 2.0 for System Level Design of Real Time SoC Platforms for Stream Processing. RTCSA Yongxin Zhu, Zhenxin Sun, Alexander Maxiaguine, Weng-Fai Wong
2004	Misc	`conf`	Adaptive Compiler Directed Prefetching for EPIC Processors. PDPTA Jinwoo Kim, Rodric M. Rabbah, Krishna V. Palem, Weng-Fai Wong
2004	A*	`conf`	Compiler orchestrated prefetching via speculation and predication. ASPLOS Rodric M. Rabbah, Hariharan Sandanagobalane, Mongkol Ekpanyapong, Weng-Fai Wong
2004	A	`conf`	Configuration bitstream compression for dynamically reconfigurable FPGAs. ICCAD Lei He, Tulika Mitra, Weng-Fai Wong
2004	—	`conf`	Data Integrity Framework and Language Support for Active Web Intermediaries. WCW Chi-Hung Chi, Xiao-Yan Yu, Wenjie Zhang, Chen Ding, Weng-Fai Wong
2004	A	`conf`	Model-Driven SoC Design via Executable UML to SystemC. RTSS Kathy Dang Nguyen, Zhenxin Sun, P. S. Thiagarajan, Weng-Fai Wong
2004	A	`conf`	Static Identification of Delinquent Loads. CGO Vlad-Mihai Panait, Amit Sasturkar, Weng-Fai Wong
2004	Misc	`conf`	Tuning SoC platforms for multimedia processing: identifying limits and tradeoffs. CODES+ISSS Alexander Maxiaguine, Yongxin Zhu, Samarjit Chakraborty, Weng-Fai Wong
2004	—	`conf`	Windows CE for a reconfigurable system-on-a-chip processor. FPT Mariam Reeny George, Weng-Fai Wong
2003	B	`conf`	A Model for Hardware Realization of Kernel Loops. FPL Jirong Liao, Weng-Fai Wong, Tulika Mitra
2003	—	`conf`	Compiling to FPGAs via an EPIC compiler's intermediate representation. FPT Zhiguo Ge, Jirong Liao, Weng-Fai Wong
2003	J	`jnl`	SilkRoad II: mixed paradigm cluster computing with RC_dag consistency. Parallel Comput. Liang Peng, Weng-Fai Wong, Chung-Kwong Yuen
2003	B	`conf`	The Performance Model of SilkRoad - A Multithreaded DSM System for Clusters. CCGRID Liang Peng, Weng-Fai Wong, Chung-Kwong Yuen
2002	C	`conf`	A Framework for Data Prefetching Using Off-Line Training of Markovian Predictors. ICCD Jinwoo Kim, Krishna V. Palem, Weng-Fai Wong
2002	—	`conf`	A co-simulation study of adaptive EPIC computing. FPT Stefan Valentin Gheorghita, Weng-Fai Wong, Tulika Mitra, Surendranath Talla
2002	—	`conf`	PD-XML: extensible markup language for processor description. FPT Shay Ping Seng, Krishna V. Palem, Rodric M. Rabbah, Weng-Fai Wong, Wayne Luk, Peter Y. K. Cheung
2002	C	`conf`	Shell over a Cluster (SHOC): Towards Achieving Single System Image via the Shell. CLUSTER C. M. Tan, C. P. Tan, Weng-Fai Wong
2002	C	`conf`	SilkRoad II: A Multi-Paradigm Runtime System for Cluster Computing. CLUSTER Liang Peng, Weng-Fai Wong, Chung-Kwong Yuen
2001	Misc	`conf`	Compiler Optimizations for Adaptive EPIC Processors. EMSOFT Krishna V. Palem, Surendranath Talla, Weng-Fai Wong
2001	Misc	`conf`	The emerging power crisis in embedded processors: what can a poor compiler do? CASES Lakshmi N. Chakrapani, Pinar Korkmaz, Vincent John Mooney III, Krishna V. Palem, Kiran Puttaswamy, Weng-Fai Wong
2000	J	`jnl`	Multiple context multithreaded superscalar processor architecture. J. Syst. Archit. K. S. Loh, Weng-Fai Wong
2000	B	`conf`	ORION: An Adaptive Home-Based Software Distributed Shared Memory System. ICPADS M. C. Ng, Weng-Fai Wong
2000	C	`conf`	SilkRoad: A Multithreaded Runtime System with Software Distributed Shared Memory for SMP Clusters. CLUSTER Liang Peng, Weng-Fai Wong, Ming-Dong Feng, Chung-Kwong Yuen
1999	J	`jnl`	Optimizing floating point operations in Scheme. Comput. Lang. Weng-Fai Wong
1999	J	`jnl`	Source Level Static Branch Prediction. Comput. J. Weng-Fai Wong
1999	—	`conf`	tmPVM - Task Migratable PVM. IPPS/SPDP C. P. Tan, Weng-Fai Wong, Chung-Kwong Yuen
1996	J	`jnl`	BaLinda Lisp: Design and Implementation. Comput. Lang. Ming-Dong Feng, Weng-Fai Wong, Chung-Kwong Yuen
1995	—	`conf`	Compiling Parallel Lisp for a Shared Memory Multiprocessor. Parallel and Distributed Computing and Systems Ming-Dong Feng, Weng-Fai Wong, Chung-Kwong Yuen
1995	—	`conf`	Design and Implementation of Abstract Machine for Parallel Lisp Compilation. ICPP (2) Ming-Dong Feng, Weng-Fai Wong, Chung-Kwong Yuen
1995	J	`jnl`	Evaluation of the Hitachi S-3800 Supercomputer Using Six Benchmarks. Int. J. High Perform. Comput. Appl. Weng-Fai Wong, Yoshio Oyanagi, Eiichi Goto
1995	J	`jnl`	Fast Evaluation of the Elementary Functions in Single Precision. IEEE Trans. Computers Weng-Fai Wong, Eiichi Goto
1995	—	`conf`	Highy Efficient Parallel Lisp Implementation on Distributed Systems. PARCO Ming-Dong Feng, Weng-Fai Wong, Chung-Kwong Yuen
1994	J	`jnl`	A Simulation Study on the Interactions between Multithreaded Architectures and the Cache. Int. J. High Speed Comput. Weng-Fai Wong, Eiichi Goto
1994	—	`conf`	Fast Evaluation of the Elementary Functions in Double Precision. HICSS (1) Weng-Fai Wong, Eiichi Goto
1994	J	`jnl`	Fast Hardware-Based Algorithms for Elementary Function Computations Using Rectangular Multipliers. IEEE Trans. Computers Weng-Fai Wong, Eiichi Goto
1992	J	`jnl`	A Model of Speculative Parallelism. Parallel Process. Lett. Weng-Fai Wong, Chung-Kwong Yuen
1992	J	`jnl`	Evaluation of the continuation bit in the Cyclic Pipeline Computer. Parallel Comput. Paul Spee, Weng-Fai Wong, M. Sato, Eiichi Goto
1991	J	`jnl`	Effects of Multiple Instruction Stream Execution on Cache Performance. Int. J. High Speed Comput. Paul Spee, Weng-Fai Wong, Eiichi Goto
1990	J	`jnl`	A preliminary evaluation of a massively parallel processor: GAPP. Microprocessing and Microprogramming Weng-Fai Wong, K. T. Lua
1990	J	`jnl`	A self interpreter for BaLinda Lisp. ACM SIGPLAN Notices Chung-Kwong Yuen, Weng-Fai Wong
1989	—	`conf`	BIDDLE: a bidirectional data driven Lisp engine. TAI Weng-Fai Wong, Chung-Kwong Yuen