Weng-Fai Wong

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 76

Top Venues

CoRR

IEEE Trans. Parallel Distributed Syst.

IEEE Trans. Computers

DATE

Publications

Mohit Upadhyay, Rohan Juneja, Weng-Fai Wong, Li-Shiuan Peh
NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator. DATE (2024)
Bin Gao, Zhehui Wang, Zhuomin He, Tao Luo, Weng-Fai Wong, Zhi Zhou
IMI: In-memory Multi-job Inference Acceleration for Large Language Models. ICPP (2024)
Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. CoRR (2024)
Zhanglu Yan, Weiran Chu, Yuhua Sheng, Kaiwen Tang, Shida Wang, Yanfeng Liu, Weng-Fai Wong
Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences. CoRR (2024)
Zhanglu Yan, Zhenyu Bai, Tulika Mitra, Weng-Fai Wong
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification. CoRR (2024)
Mohit Upadhyay, Rohan Juneja, Weng-Fai Wong, Li-Shiuan Peh
NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator. CoRR (2024)
Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. FPGA (2024)
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Nhut-Minh Ho, Duy Thanh Nguyen, John L. Gustafson, Weng-Fai Wong
Bedot: Bit Efficient Dot Product for Deep Generative Models. CoNGA (2023)
Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading). CoRR (2023)
Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. CoRR (2023)
Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
LightRW: FPGA Accelerated Graph Dynamic Random Walks. CoRR (2023)
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases. IEEE Trans. Computers 72 (6) (2023)
Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
LightRW: FPGA Accelerated Graph Dynamic Random Walks. Proc. ACM Manag. Data 1 (1) (2023)
Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
Efficient Hyperdimensional Computing. CoRR (2023)
Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications. CoRR (2023)
Bo Wang, Ming Ming Wong, D. Li, Yi Sheng Chong, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh, Aarthy Mani, Mohit Upadhyay, Ananta Narayanan Balaji, Anh Tuan Do
1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing. ISCAS (2023)
Himeshi De Silva, Hongshi Tan, Nhut-Minh Ho, John L. Gustafson, Weng-Fai Wong
Towards a Better 16-Bit Number Representation for Training Neural Networks. CoNGA (2023)
Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
Efficient Hyperdimensional Computing. ECML/PKDD (2) (2023)
Tao Luo, Weng-Fai Wong, Rick Siow Mong Goh, Anh Tuan Do, Zhixian Chen, Haizhou Li, Wenyu Jiang, Weiyun Yau
Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing. Commun. ACM 66 (7) (2023)
Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. Proc. ACM Manag. Data 1 (4) (2023)
Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity. Neurocomputing 560 (2023)
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
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. ICDE (2023)
Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. IEEE Trans. Computers 72 (10) (2023)
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
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. 34 (10) (2023)
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks. CoRR (2022)
Tao Luo, Liwei Yang, Huaipeng Zhang, Chuping Qu, Xuan Wang, Yingnan Cui, Weng-Fai Wong, Rick Siow Mong Goh
NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (9) (2022)
Bo Wang, Ke Dong, Nurul Akhira Binte Zakaria, Mohit Upadhyay, Weng-Fai Wong, Li-Shiuan Peh
Network-on-Chip-Centric Accelerator Architectures for Edge AI Computing. ISOCC (2022)
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
Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140]. Neurocomputing 508 (2022)
Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. CoNGA (2022)
Xinyu Chen, Feng Cheng, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
ThunderGP: Resource-Efficient Graph Processing Framework on FPGAs with HLS. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
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
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing 474 (2022)
Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. MICRO (2022)
Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. CoRR (2022)
Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
REACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables. DAC (2022)
Nhut-Minh Ho, Weng-Fai Wong
Tensorox: Accelerating GPU Applications via Neural Approximation on Unused Tensor Cores. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases. CoRR (2022)
Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity. CoRR (2022)
Nhut-Minh Ho, Duy Thanh Nguyen, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong, Ik Joon Chang
Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks. DATE (2021)
Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS. CoRR (2021)
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
Near Lossless Transfer Learning for Spiking Neural Networks. AAAI (2021)
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
Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. Proc. VLDB Endow. 14 (5) (2021)
Nhut-Minh Ho, Himeshi De Silva, Weng-Fai Wong
GRAM: A Framework for Dynamically Mixing Precisions in GPU Applications. ACM Trans. Archit. Code Optim. 18 (2) (2021)
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
Energy efficient ECG classification with spiking neural network. Biomed. Signal Process. Control. 63 (2021)
Duy Thanh Nguyen, Nhut-Minh Ho, Minh-Son Le, Weng-Fai Wong, Ik-Joon Chang
ZEM: Zero-Cycle Bit-Masking Module for Deep Learning Refresh-Less DRAM. IEEE Access 9 (2021)
Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
ThundeRiNG: generating multiple independent random number sequences on FPGAs. ICS (2021)
Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
ThunderGP: HLS-based Graph Processing Framework on FPGAs. FPGA (2021)
Duy Thanh Nguyen, Nhut-Minh Ho, Weng-Fai Wong, Ik-Joon Chang
OBET: On-the-Fly Byte-Level Error Tracking for Correcting and Detecting Faults in Unreliable DRAM Systems. Sensors 21 (24) (2021)
Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
Skew-Oblivious Data Routing for Data Intensive Applications on FPGAs with HLS. DAC (2021)
Jun Zhou, R. Ramanathan, Weng-Fai Wong
Synthesis of the Dynamical Properties of Feedback Loops in Bio-Pathways. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs. CoRR (2021)
Myat Thu Linn Aung, Chuping Qu, Liwei Yang, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays. FPL (2021)
Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Siow Mong Goh
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications. CoRR (2021)
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
Optimizing for In-memory Deep Learning with Emerging Memory Technology. CoRR (2021)
Tao Luo, Xuan Wang, Chuping Qu, Matthew Kay Fei Lee, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (2) (2020)
Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen
Is FPGA Useful for Hash Joins? CIDR (2020)
Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip. DATE (2020)
Cheng Chen, Qingsong Wei, Weng-Fai Wong, Chundong Wang
NV-Journaling: Locality-Aware Journaling Using Byte-Addressable Non-Volatile Memory. IEEE Trans. Computers 69 (2) (2020)
Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh-Tuan Do, Paramasivam Vishnu, Wei Zhang, Rick Siow Mong Goh
NCPower: Power Modelling for NVM-based Neuromorphic Chip. ICONS (2020)
Himeshi De Silva, Andrew E. Santosa, Nhut-Minh Ho, Weng-Fai Wong
ApproxSymate: path sensitive program approximation using symbolic execution. LCTES (2019)
Jun Zhou, Weng-Fai Wong
Resource Efficient Personalized ECG Beat Classification via Temporal Logic Synthesis. BIBE (2019)
Nhut-Minh Ho, Ramesh Vaddi, Weng-Fai Wong
Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices. DATE (2019)
Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips. ACM Trans. Archit. Code Optim. 15 (4) (2019)
Qingchao Cai, Hao Zhang, Wentian Guo, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Weng-Fai Wong
MemepiC: Towards a Unified In-Memory Big Data Management System. IEEE Trans. Big Data 5 (1) (2019)
Xinyu Chen, Ronak Bajaj, Yao Chen, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen
On-The-Fly Parallel Data Shuffling for Graph Processing on OpenCL-Based FPGAs. FPL (2019)
Jun Zhou, Yan Zhang, Weng-Fai Wong
Fault Tolerant Stencil Computation on Cloud-Based GPU Spot Instances. IEEE Trans. Cloud Comput. 7 (4) (2019)
Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip. CoRR (2019)
Sumanaruban Rajadurai, Jeffrey Bosboom, Weng-Fai Wong, Saman P. Amarasinghe
Gloss: Seamless Live Reconfiguration and Reoptimization of Stream Programs. ASPLOS (2018)
Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
Making Strassen Matrix Multiplication Safe. HiPC (2018)
Nhut-Minh Ho, Weng-Fai Wong
Exploiting half precision arithmetic in Nvidia GPUs. HPEC (2017)
Jun Zhou, R. Ramanathan, Weng-Fai Wong, P. S. Thiagarajan
Automated Property Synthesis of ODEs Based Bio-pathways Models. CMSB (2017)
Nhut-Minh Ho, Elavarasi Manogaran, Weng-Fai Wong, Asha Anoosheh
Efficient floating point precision tuning for approximate computing. ASP-DAC (2017)
Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong
Parallelizing Skip Lists for In-Memory Multi-Core Database Systems. ICDE (2017)
Chang Yao, Divyakant Agrawal, Gang Chen, Qian Lin, Beng Chin Ooi, Weng-Fai Wong, Meihui Zhang
Exploiting Single-Threaded Model in Multi-Core In-Memory Systems. IEEE Trans. Knowl. Data Eng. 28 (10) (2016)
Chundong Wang, Weng-Fai Wong
TreeFTL: An Efficient Workload-Adaptive Algorithm for RAM Buffer Management of NAND Flash-Based Devices. IEEE Trans. Computers 65 (8) (2016)
Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong
PI : a Parallel in-memory skip list based Index. CoRR (2016)
R. Ramanathan, Yan Zhang, Jun Zhou, Benjamin M. Gyori, Weng-Fai Wong, P. S. Thiagarajan
Parallelized Parameter Estimation of Biological Pathway Models. HSB (2015)
Wen Jun Tan, Wai Teng Tang, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
A Code Generation Framework for Targeting Optimized Library Calls for Multiple Platforms. IEEE Trans. Parallel Distributed Syst. 26 (7) (2015)
Wai Teng Tang, Wen Jun Tan, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
A Family of Bit-Representation-Optimized Formats for Fast Sparse Matrix-Vector Multiplication on the GPU. IEEE Trans. Parallel Distributed Syst. 26 (9) (2015)
Kian-Lee Tan, Qingchao Cai, Beng Chin Ooi, Weng-Fai Wong, Chang Yao, Hao Zhang
In-memory Databases: Challenges and Opportunities From Software and Hardware Perspectives. SIGMOD Rec. 44 (2) (2015)
Peera Thontirawong, Chundong Wang, Weng-Fai Wong, Mongkol Ekpanyapong, Prabhas Chongstitvatana
3DFTL: a three-level demand-based translation strategy for flash device. IEICE Electron. Express 12 (8) (2015)
Chang Yao, Divyakant Agrawal, Pengfei Chang, Gang Chen, Beng Chin Ooi, Weng-Fai Wong, Meihui Zhang
DGCC: A New Dependency Graph based Concurrency Control Protocol for Multicore Database Systems. CoRR (2015)
Pooja Roy, Jianxing Wang, Weng-Fai Wong
PAC: Program Analysis for Approximation-aware Compilation. CASES (2015)
Hao Zhang, Gang Chen, Beng Chin Ooi, Weng-Fai Wong, Shensen Wu, Yubin Xia
"Anti-Caching"-based elastic memory management for Big Data. ICDE (2015)
Pooja Roy, Manmohan Manoharan, Weng-Fai Wong
EnVM: Virtual memory design for new memory architectures. CASES (2014)
Pooja Roy, Rajarshi Ray, Chundong Wang, Weng-Fai Wong
ASAC: automatic sensitivity analysis for approximate computing. LCTES (2014)
Jianxing Wang, Yenni Tim, Weng-Fai Wong, Zhong-Liang Ong, Zhenyu Sun, Hai Li
A coherent hybrid SRAM and STT-RAM L1 cache architecture for shared memory multicores. ASP-DAC (2014)
Jeffrey Bosboom, Sumanaruban Rajadurai, Weng-Fai Wong, Saman P. Amarasinghe
StreamJIT: a commensal compiler for high-performance stream programming. OOPSLA (2014)
Huynh Phung Huynh, Andrei Hagiescu, Zhong-Liang Ong, Weng-Fai Wong, Rick Siow Mong Goh
Mapping Streaming Applications onto GPU Systems. IEEE Trans. Parallel Distributed Syst. 25 (9) (2014)
Jianxing Wang, Pooja Roy, Weng-Fai Wong, Xiuyuan Bi, Hai Li
Optimizing MLC-based STT-RAM caches by dynamic block size reconfiguration. ICCD (2014)
Zhenyu Sun, Xiuyuan Bi, Hai Li, Weng-Fai Wong, Xiaochun Zhu
STT-RAM Cache Hierarchy With Multiretention MTJ Designs. IEEE Trans. Very Large Scale Integr. Syst. 22 (6) (2014)
Wai Teng Tang, Wen Jun Tan, Ratna Krishnamoorthy, Yi Wen Wong, Shyh-Hao Kuo, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
Optimizing and Auto-Tuning Iterative Stencil Loops for GPUs with the In-Plane Method. IPDPS (2013)
Chundong Wang, Weng-Fai Wong
TreeFTL: efficient RAM management for high performance of NAND flash-based storage systems. DATE (2013)
Chundong Wang, Weng-Fai Wong
SAW: system-assisted wear leveling on the write endurance of NAND flash devices. DAC (2013)
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
Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes. SC (2013)
Yiran Chen, Weng-Fai Wong, Hai Li, Cheng-Kok Koh, Yaojun Zhang, Wujie Wen
On-chip caches built on multilevel spin-transfer torque RAM cells and its optimizations. ACM J. Emerg. Technol. Comput. Syst. 9 (2) (2013)
Jianxing Wang, Yenni Tim, Weng-Fai Wong, Hai (Helen) Li
A practical low-power memristor-based analog neural branch predictor. ISLPED (2013)
Andrei Hagiescu, Bing Liu, R. Ramanathan, Sucheendra K. Palaniappan, Zheng Cui, Bipasa Chattopadhyay, P. S. Thiagarajan, Weng-Fai Wong
GPU code generation for ODE-based applications with phased shared-data access patterns. ACM Trans. Archit. Code Optim. 10 (4) (2013)
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
Tulipse: A Visualization Framework for User-Guided Parallelization. Euro-Par (2012)
Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh
Scalable framework for mapping streaming applications onto multi-GPU systems. PPOPP (2012)

Weng-Fai Wong.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Weng-Fai Wong