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2020 – today
- 2024
[j61]Yujian Fu
, Cheng Chen, Xiaohui Chen, Weng-Fai Wong, Bingsheng He:
Optimizing the Number of Clusters for Billion-Scale Quantization-Based Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. 36(11): 6786-6800 (2024)- [j60]Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong:
Optimizing for In-Memory Deep Learning With Emerging Memory Technology. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15306-15320 (2024) - [j59]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:
1.63 pJ/SOP Neuromorphic Processor With Integrated Partial Sum Routers for In-Network Computing. IEEE Trans. Very Large Scale Integr. Syst. 32(11): 2085-2092 (2024) - [c113]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: 1-6 - [c112]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: 235-245 - [c111]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: 752-761 - [c110]Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong:
OneSpike: Ultra-low latency spiking neural networks. IJCNN 2024: 1-8 - [i22]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 abs/2402.13297 (2024) - [i21]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 abs/2403.11414 (2024) - [i20]Mohit Upadhyay, Rohan Juneja, Weng-Fai Wong, Li-Shiuan Peh:
NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator. CoRR abs/2405.04206 (2024) - [i19]Zhanglu Yan, Zhenyu Bai, Tulika Mitra, Weng-Fai Wong:
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification. CoRR abs/2406.06543 (2024) - [i18]Zhanglu Yan, Zhenyu Bai, Weng-Fai Wong:
Reconsidering the energy efficiency of spiking neural networks. CoRR abs/2409.08290 (2024) - [i17]Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong:
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model. CoRR abs/2409.15298 (2024) - 2023
- [j58]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): 52-57 (2023) - [j57]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: 126773 (2023) - [j56]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
LightRW: FPGA Accelerated Graph Dynamic Random Walks. Proc. ACM Manag. Data 1(1): 90:1-90:27 (2023) - [j55]Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He:
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. Proc. ACM Manag. Data 1(4): 246:1-246:27 (2023) - [j54]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): 11600-11611 (2023) - [j53]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): 1692-1705 (2023) - [j52]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): 2847-2857 (2023) - [j51]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): 2767-2782 (2023) - [c109]Nhut-Minh Ho, Duy Thanh Nguyen, John L. Gustafson, Weng-Fai Wong:
Bedot: Bit Efficient Dot Product for Deep Generative Models. CoNGA 2023: 19-37 - [c108]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: 114-133 - [c107]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: 2976-2987 - [c106]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:
1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing. ISCAS 2023: 1-5 - [c105]Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong:
Efficient Hyperdimensional Computing. ECML/PKDD (2) 2023: 141-155 - [i16]Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong:
Efficient Hyperdimensional Computing. CoRR abs/2301.10902 (2023) - [i15]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
LightRW: FPGA Accelerated Graph Dynamic Random Walks. CoRR abs/2304.07004 (2023) - [i14]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 abs/2305.05187 (2023) - [i13]Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong:
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications. CoRR abs/2308.08222 (2023) - [i12]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 abs/2311.14898 (2023) - 2022
- [j50]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: 128-140 (2022) - [j49]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: 109 (2022) - [j48]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): 2957-2969 (2022) - [j47]Nhut-Minh Ho, Weng-Fai Wong:
Tensorox: Accelerating GPU Applications via Neural Approximation on Unused Tensor Cores. IEEE Trans. Parallel Distributed Syst. 33(2): 429-443 (2022) - [j46]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): 44:1-44:31 (2022) - [c104]Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong:
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. CoNGA 2022: 31-49 - [c103]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: 1291-1296 - [c102]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: 243-244 - [c101]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: 1342-1358 - [i11]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 abs/2203.02325 (2022) - [i10]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 abs/2203.02676 (2022) - [i9]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 abs/2211.05412 (2022) - [i8]Zhanglu Yan, Jun Zhou, Weng-Fai Wong:
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks. CoRR abs/2211.08410 (2022) - 2021
- [j45]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: 93723-93733 (2021) - [j44]Zhanglu Yan, Jun Zhou, Weng-Fai Wong:
Energy efficient ECG classification with spiking neural network. Biomed. Signal Process. Control. 63: 102170 (2021) - [j43]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): 799-812 (2021) - [j42]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): 8271 (2021) - [j41]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): 19:1-19:24 (2021) - [j40]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): 1217-1226 (2021) - [c100]Zhanglu Yan, Jun Zhou, Weng-Fai Wong:
Near Lossless Transfer Learning for Spiking Neural Networks. AAAI 2021: 10577-10584 - [c99]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: 937-942 - [c98]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: 1350-1355 - [c97]Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen:
ThunderGP: HLS-based Graph Processing Framework on FPGAs. FPGA 2021: 69-80 - [c96]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: 28-32 - [c95]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
ThundeRiNG: generating multiple independent random number sequences on FPGAs. ICS 2021: 115-126 - [i7]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 abs/2105.04151 (2021) - [i6]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs. CoRR abs/2105.09578 (2021) - [i5]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 abs/2105.11848 (2021) - [i4]Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong:
Optimizing for In-memory Deep Learning with Emerging Memory Technology. CoRR abs/2112.00324 (2021) - 2020
- [j39]Bokui Chen, Duo Sun, Jun Zhou, Wengfai Wong, Zhong-Jun Ding:
A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles. Inf. Sci. 529: 59-72 (2020) - [j38]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): 288-299 (2020) - [j37]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): 438-450 (2020) - [c94]Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen:
Is FPGA Useful for Hash Joins? CIDR 2020 - [c93]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: 240-245 - [c92]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: 15:1-15:7
2010 – 2019
- 2019
- [j36]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): 64:1-64:24 (2019) - [j35]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): 4-17 (2019) - [j34]Jun Zhou, Yan Zhang, Weng-Fai Wong:
Fault Tolerant Stencil Computation on Cloud-Based GPU Spot Instances. IEEE Trans. Cloud Comput. 7(4): 1013-1024 (2019) - [c91]Jun Zhou, Weng-Fai Wong:
Resource Efficient Personalized ECG Beat Classification via Temporal Logic Synthesis. BIBE 2019: 374-377 - [c90]Nhut-Minh Ho, Ramesh Vaddi, Weng-Fai Wong:
Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices. DATE 2019: 1100-1105 - [c89]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: 67-73 - [c88]Himeshi De Silva, Andrew E. Santosa, Nhut-Minh Ho, Weng-Fai Wong:
ApproxSymate: path sensitive program approximation using symbolic execution. LCTES 2019: 148-162 - [p1]Weng-Fai Wong, Pooja Roy, Rajashi Ray, Nhut-Minh Ho:
Compilation and Other Software Techniques Enabling Approximate Computing. Approximate Circuits 2019: 443-463 - [i3]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 abs/1911.10741 (2019) - 2018
- [c87]Sumanaruban Rajadurai, Jeffrey Bosboom, Weng-Fai Wong, Saman P. Amarasinghe:
Gloss: Seamless Live Reconfiguration and Reoptimization of Stream Programs. ASPLOS 2018: 98-112 - [c86]Himeshi De Silva, John L. Gustafson, Weng-Fai Wong:
Making Strassen Matrix Multiplication Safe. HiPC 2018: 173-182 - 2017
- [c85]Nhut-Minh Ho, Elavarasi Manogaran, Weng-Fai Wong, Asha Anoosheh:
Efficient floating point precision tuning for approximate computing. ASP-DAC 2017: 63-68 - [c84]Jun Zhou, R. Ramanathan, Weng-Fai Wong, P. S. Thiagarajan:
Automated Property Synthesis of ODEs Based Bio-pathways Models. CMSB 2017: 265-282 - [c83]Nhut-Minh Ho, Weng-Fai Wong:
Exploiting half precision arithmetic in Nvidia GPUs. HPEC 2017: 1-7 - [c82]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: 119-122 - 2016
- [j33]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): 2618-2630 (2016) - [j32]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): 2635-2650 (2016) - [i2]Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong:
PI : a Parallel in-memory skip list based Index. CoRR abs/1601.00159 (2016) - 2015
- [j31]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): 20150211 (2015) - [j30]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): 35-40 (2015) - [j29]N. M. Ho, N. Thoai, Weng-Fai Wong:
Multi-agent simulation on multiple GPUs. Simul. Model. Pract. Theory 57: 118-132 (2015) - [j28]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): 1789-1799 (2015) - [j27]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): 2373-2385 (2015) - [c81]Pooja Roy, Jianxing Wang, Weng-Fai Wong:
PAC: Program Analysis for Approximation-aware Compilation. CASES 2015: 69-78 - [c80]R. Ramanathan, Yan Zhang, Jun Zhou, Benjamin M. Gyori, Weng-Fai Wong, P. S. Thiagarajan:
Parallelized Parameter Estimation of Biological Pathway Models. HSB 2015: 37-57 - [c79]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: 1268-1279 - [i1]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 abs/1503.03642 (2015) - 2014
- [j26]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): 2374-2385 (2014) - [j25]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): 1281-1293 (2014) - [c78]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: 610-615 - [c77]Pooja Roy, Manmohan Manoharan, Weng-Fai Wong:
EnVM: Virtual memory design for new memory architectures. CASES 2014: 12:1-12:10 - [c76]Jianxing Wang, Pooja Roy, Weng-Fai Wong, Xiuyuan Bi, Hai Li:
Optimizing MLC-based STT-RAM caches by dynamic block size reconfiguration. ICCD 2014: 133-138 - [c75]Pooja Roy, Rajarshi Ray, Chundong Wang, Weng-Fai Wong:
ASAC: automatic sensitivity analysis for approximate computing. LCTES 2014: 95-104 - [c74]Jeffrey Bosboom, Sumanaruban Rajadurai, Weng-Fai Wong, Saman P. Amarasinghe:
StreamJIT: a commensal compiler for high-performance stream programming. OOPSLA 2014: 177-195 - 2013
- [j24]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): 16:1-16:22 (2013) - [j23]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): 55:1-55:19 (2013) - [c73]Chundong Wang, Weng-Fai Wong:
SAW: system-assisted wear leveling on the write endurance of NAND flash devices. DAC 2013: 164:1-164:9 - [c72]Chundong Wang, Weng-Fai Wong:
TreeFTL: efficient RAM management for high performance of NAND flash-based storage systems. DATE 2013: 374-379 - [c71]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: 452-462 - [c70]Jianxing Wang, Yenni Tim, Weng-Fai Wong, Hai (Helen) Li:
A practical low-power memristor-based analog neural branch predictor. ISLPED 2013: 175-180 - [c69]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: 26:1-26:12 - 2012
- [j22]Bing Liu, Andrei Hagiescu, Sucheendra K. Palaniappan, Bipasa Chattopadhyay, Zheng Cui, Weng-Fai Wong, P. S. Thiagarajan:
Approximate probabilistic analysis of biopathway dynamics. Bioinform. 28(11): 1508-1516 (2012) - [c68]Chundong Wang, Weng-Fai Wong:
Observational wear leveling: an efficient algorithm for flash memory management. DAC 2012: 235-242 - [c67]Chundong Wang, Weng-Fai Wong:
Extending the lifetime of NAND flash memory by salvaging bad blocks. DATE 2012: 260-263 - [c66]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: 4-15 - [c65]Abdullah Al-Dujaili, Florian Deragisch, Andrei Hagiescu, Weng-Fai Wong:
Guppy: A GPU-like soft-core processor. FPT 2012: 57-60 - [c64]Chandrasehar Rajaseharan, Wen Jun Tan, Wai Teng Tang, Stephen John Turner, Shyh-Hao Kuo, Rick Siow Mong Goh, Weng-Fai Wong:
Automatic Refactoring of Legacy Fortran Code to the Array Slicing Notation. ICPADS 2012: 698-699 - [c63]Chundong Wang, Weng-Fai Wong:
ADAPT: Efficient workload-sensitive flash management based on adaptation, prediction and aggregation. MSST 2012: 1-12 - [c62]Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh:
Scalable framework for mapping streaming applications onto multi-GPU systems. PPoPP 2012: 1-10 - [c61]Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh, Abhishek Ray:
Abstract: Mapping Streaming Applications onto GPU Systems. SC Companion 2012: 1488-1489 - [c60]Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh, Abhishek Ray:
Poster: Automated Mapping Streaming Applications onto GPUs. SC Companion 2012: 1490 - 2011
- [j21]Chi-Tsai Yeh, Chun-Hao Wang, Ing-Jer Huang, Weng-Fai Wong:
Internet-based hardware/software co-design framework for embedded 3D graphics applications. EURASIP J. Adv. Signal Process. 2011: 25 (2011) - [j20]Yong Lian, Keck Voon Ling, Weng-Fai Wong:
Guest Editorial - BSN2010 Special Issue. IEEE Trans. Biomed. Circuits Syst. 5(4): 305-306 (2011) - [c59]Zhenxin Sun, Chi-Tsai Yeh, Weng-Fai Wong:
A UML 2-based hardware-software co-design framework for body sensor network applications. DATE 2011: 1505-1508 - [c58]Andrei Hagiescu, Weng-Fai Wong:
Co-synthesis of FPGA-based application-specific floating point simd accelerators. FPGA 2011: 247-256 - [c57]Andrei Hagiescu, Huynh Phung Huynh, Weng-Fai Wong, Rick Siow Mong Goh:
Automated Architecture-Aware Mapping of Streaming Applications Onto GPUs. IPDPS 2011: 467-478 - [c56]Yiran Chen, Weng-Fai Wong, Hai Li, Cheng-Kok Koh:
Processor caches with multi-level spin-transfer torque ram cells. ISLPED 2011: 73-78 - [c55]Zhenyu Sun, Xiuyuan Bi, Hai (Helen) Li, Weng-Fai Wong, Zhong-Liang Ong, Xiaochun Zhu, Wenqing Wu:
Multi retention level STT-RAM cache designs with a dynamic refresh scheme. MICRO 2011: 329-338 - [c54]Qin Zhao, David Koh, Syed Raza, Derek Bruening, Weng-Fai Wong, Saman P. Amarasinghe:
Dynamic cache contention detection in multi-threaded applications. VEE 2011: 27-38 - 2010
- [j19]Qin Zhao, Ioana Cutcutache, Weng-Fai Wong:
PiPA: Pipelined profiling and analysis on multicore systems. ACM Trans. Archit. Code Optim. 7(3): 13:1-13:29 (2010) - [c53]Joon Edward Sim, Weng-Fai Wong, Gregor Walla, Tobias Ziermann, Jürgen Teich:
Interprocedural Placement-Aware Configuration Prefetching for FPGA-Based Systems. FCCM 2010: 179-182
2000 – 2009
- 2009
- [j18]Cheng-Kok Koh, Weng-Fai Wong, Yiran Chen, Hai Li:
Tolerating process variations in large, set-associative caches: The buddy cache. ACM Trans. Archit. Code Optim. 6(2): 8:1-8:34 (2009) - [c52]Zhenxin Sun, Weng-Fai Wong:
A UML-based approach for heterogeneous IP integration. ASP-DAC 2009: 155-160 - [c51]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:
BSN Simulator: Optimizing Application Using System Level Simulation. BSN 2009: 9-14 - [c50]Andrei Hagiescu, Weng-Fai Wong, David F. Bacon, Rodric M. Rabbah:
A computing origami: folding streams in FPGAs. DAC 2009: 282-287 - [c49]Zhiguo Ge, Tulika Mitra, Weng-Fai Wong:
A DVS-based pipelined reconfigurable instruction memory. DAC 2009: 897-902 - [c48]Joon Edward Sim, Weng-Fai Wong, Jürgen Teich:
Optimal Placement-aware Trace-Based Scheduling of Hardware Reconfigurations for FPGA Accelerators. FCCM 2009: 279-282 - [c47]Cheng-Kok Koh, Weng-Fai Wong, Yiran Chen, Hai Li:
The salvage cache: A fault-tolerant cache architecture for next-generation memory technologies. ICCD 2009: 268-274 - [c46]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:
Automatically patching errors in deployed software. SOSP 2009: 87-102 - 2008
- [j17]Ioana Cutcutache, Weng-Fai Wong:
Fast, frequency-based, integrated register allocation and instruction scheduling. Softw. Pract. Exp. 38(11): 1105-1126 (2008) - [c45]Qin Zhao, Rodric M. Rabbah, Saman P. Amarasinghe, Larry Rudolph, Weng-Fai Wong:
How to Do a Million Watchpoints: Efficient Debugging Using Dynamic Instrumentation. CC 2008: 147-162 - [c44]Qin Zhao, Ioana Cutcutache, Weng-Fai Wong:
Pipa: pipelined profiling and analysis on multi-core systems. CGO 2008: 185-194 - [c43]Joon Edward Sim, Tulika Mitra, Weng-Fai Wong:
Defining neighborhood relations for fast spatial-temporal partitioning of applications on reconfigurable architectures. FPT 2008: 121-128 - 2007
- [j16]Gordon J. Brebner, Samarjit Chakraborty, Weng-Fai Wong:
Editorial for the Special Issue on Field Programmable Technology. J. VLSI Signal Process. 47(1): 1-2 (2007) - [c42]Rongrong Zhong, Yongxin Zhu, Weiwei Chen, Mingliang Lin, Weng-Fai Wong:
An Inter-Core Communication Enabled Multi-Core Simulator Based on SimpleScalar. AINA Workshops (1) 2007: 758-763 - [c41]Qin Zhao, Rodric M. Rabbah, Saman P. Amarasinghe, Larry Rudolph, Weng-Fai Wong:
Ubiquitous Memory Introspection. CGO 2007: 299-311 - [c40]Zhiguo Ge, Weng-Fai Wong, Hock-Beng Lim:
DRIM: a low power dynamically reconfigurable instruction memory hierarchy for embedded systems. DATE 2007: 1343-1348 - [c39]Weng-Fai Wong, Cheng-Kok Koh, Yiran Chen, Hai Li:
VOSCH: Voltage scaled cache hierarchies. ICCD 2007: 496-503 - [c38]Kathy Dang Nguyen, P. S. Thiagarajan, Weng-Fai Wong:
A UML-Based Design Framework for Time-Triggered Applications. RTSS 2007: 39-48 - 2006
- [c37]Qin Zhao, Joon Edward Sim, Weng-Fai Wong, Larry Rudolph:
DEP: detailed execution profile. PACT 2006: 154-163 - [c36]Yongxin Zhu, Weng-Fai Wong, Stefan Andrei:
Co-optimization of Performance and Power in a Superscalar Processor Design. EUC Workshops 2006: 868-878 - [c35]Y. Y. Leow, C. Y. Ng, Weng-Fai Wong:
Generating hardware from OpenMP programs. FPT 2006: 73-80 - 2005
- [j15]Qin Zhao, Rodric M. Rabbah, Weng-Fai Wong:
Dynamic memory optimization using pool allocation and prefetching. SIGARCH Comput. Archit. News 33(5): 27-32 (2005) - [c34]Yongxin Zhu, Weng-Fai Wong, Cheng-Kok Koh:
A Performance and Power Co-optimization Approach for Modern Processors. CIT 2005: 822-828 - [c33]Weng-Fai Wong:
Targeted Data Prefetching. Asia-Pacific Computer Systems Architecture Conference 2005: 775-786 - [c32]Zhenxin Sun, Weng-Fai Wong, Yongxin Zhu, Santhosh Kumar Pilakkat:
Design of clocked circuits using UML. ASP-DAC 2005: 901-904 - [c31]Yongxin Zhu, Weng-Fai Wong, Stefan Andrei:
An integrated performance and power model for superscalar processor designs. ASP-DAC 2005: 948-951 - [c30]Zhiguo Ge, Hock-Beng Lim, Weng-Fai Wong:
A Reconfigurable Instruction Memory Hierarchy for Embedded Systems. FPL 2005: 7-12 - [c29]Khaing Khaing Kyi Win, Weng-Fai Wong:
Cooperative Instruction Scheduling with Linear Scan Register Allocation. HiPC 2005: 528-537 - [c28]Hock-Beng Lim, Yong Meng Teo, Protik Mukherjee, Vinh The Lam, Weng-Fai Wong, Simon See:
Sensor Grid: Integration ofWireless Sensor Networks and the Grid. LCN 2005: 91-99 - [c27]Yongxin Zhu, Zhenxin Sun, Alexander Maxiaguine, Weng-Fai Wong:
Using UML 2.0 for System Level Design of Real Time SoC Platforms for Stream Processing. RTCSA 2005: 154-159 - [e1]Gordon J. Brebner, Samarjit Chakraborty, Weng-Fai Wong:
Proceedings of the 2005 IEEE International Conference on Field-Programmable Technology, FPT 2005, 11-14 December 2005, Singapore. IEEE 2005, ISBN 0-7803-9407-0 [contents] - 2004
- [c26]Rodric M. Rabbah, Hariharan Sandanagobalane, Mongkol Ekpanyapong, Weng-Fai Wong:
Compiler orchestrated prefetching via speculation and predication. ASPLOS 2004: 189-198 - [c25]Vlad-Mihai Panait, Amit Sasturkar, Weng-Fai Wong:
Static Identification of Delinquent Loads. CGO 2004: 303-314 - [c24]Alexander Maxiaguine, Yongxin Zhu, Samarjit Chakraborty, Weng-Fai Wong:
Tuning SoC platforms for multimedia processing: identifying limits and tradeoffs. CODES+ISSS 2004: 128-133 - [c23]Mariam Reeny George, Weng-Fai Wong:
Windows CE for a reconfigurable system-on-a-chip processor. FPT 2004: 201-207 - [c22]Lei He, Tulika Mitra, Weng-Fai Wong:
Configuration bitstream compression for dynamically reconfigurable FPGAs. ICCAD 2004: 766-773 - [c21]Jinwoo Kim, Rodric M. Rabbah, Krishna V. Palem, Weng-Fai Wong:
Adaptive Compiler Directed Prefetching for EPIC Processors. PDPTA 2004: 495-501 - [c20]Kathy Dang Nguyen, Zhenxin Sun, P. S. Thiagarajan, Weng-Fai Wong:
Model-Driven SoC Design via Executable UML to SystemC. RTSS 2004: 459-468 - [c19]Chi-Hung Chi, Xiao-Yan Yu, Wenjie Zhang, Chen (Cherie) Ding, Weng-Fai Wong:
Data Integrity Framework and Language Support for Active Web Intermediaries. WCW 2004: 94-105 - 2003
- [j14]Liang Peng, Weng-Fai Wong, Chung-Kwong Yuen:
SilkRoad II: mixed paradigm cluster computing with RC_dag consistency. Parallel Comput. 29(8): 1091-1115 (2003) - [c18]Liang Peng, Weng-Fai Wong, Chung-Kwong Yuen:
The Performance Model of SilkRoad - A Multithreaded DSM System for Clusters. CCGRID 2003: 495-501 - [c17]Jirong Liao, Weng-Fai Wong, Tulika Mitra:
A Model for Hardware Realization of Kernel Loops. FPL 2003: 334-344 - [c16]Zhiguo Ge, Jirong Liao, Weng-Fai Wong:
Compiling to FPGAs via an EPIC compiler's intermediate representation. FPT 2003: 431-434 - 2002
- [c15]C. M. Tan, C. P. Tan, Weng-Fai Wong:
Shell over a Cluster (SHOC): Towards Achieving Single System Image via the Shell. CLUSTER 2002: 28- - [c14]Liang Peng, Weng-Fai Wong, Chung-Kwong Yuen:
SilkRoad II: A Multi-Paradigm Runtime System for Cluster Computing. CLUSTER 2002: 443-444 - [c13]Stefan Valentin Gheorghita, Weng-Fai Wong, Tulika Mitra, Surendranath Talla:
A co-simulation study of adaptive EPIC computing. FPT 2002: 268-275 - [c12]Shay Ping Seng, Krishna V. Palem, Rodric M. Rabbah, Weng-Fai Wong, Wayne Luk, Peter Y. K. Cheung:
PD-XML: extensible markup language for processor description. FPT 2002: 437-440 - [c11]Jinwoo Kim, Krishna V. Palem, Weng-Fai Wong:
A Framework for Data Prefetching Using Off-Line Training of Markovian Predictors. ICCD 2002: 340-347 - 2001
- [c10]Lakshmi N. Chakrapani, Pinar Korkmaz, Vincent John Mooney III, Krishna V. Palem, Kiran Puttaswamy, Weng-Fai Wong:
The emerging power crisis in embedded processors: what can a poor compiler do? CASES 2001: 176-180 - [c9]Krishna V. Palem, Surendranath Talla, Weng-Fai Wong:
Compiler Optimizations for Adaptive EPIC Processors. EMSOFT 2001: 257-273 - 2000
- [j13]K. S. Loh, Weng-Fai Wong:
Multiple context multithreaded superscalar processor architecture. J. Syst. Archit. 46(3): 243-258 (2000) - [c8]Liang Peng, Weng-Fai Wong, Ming-Dong Feng, Chung-Kwong Yuen:
SilkRoad: A Multithreaded Runtime System with Software Distributed Shared Memory for SMP Clusters. CLUSTER 2000: 243-249 - [c7]M. C. Ng, Weng-Fai Wong:
ORION: An Adaptive Home-Based Software Distributed Shared Memory System. ICPADS 2000: 187-194
1990 – 1999
- 1999
- [j12]Weng-Fai Wong:
Source Level Static Branch Prediction. Comput. J. 42(2): 142-149 (1999) - [j11]Weng-Fai Wong:
Optimizing floating point operations in Scheme. Comput. Lang. 25(2): 89-112 (1999) - [c6]C. P. Tan, Weng-Fai Wong, Chung-Kwong Yuen:
tmPVM - Task Migratable PVM. IPPS/SPDP 1999: 196-202 - 1996
- [j10]Ming-Dong Feng, Weng-Fai Wong, Chung-Kwong Yuen:
BaLinda Lisp: Design and Implementation. Comput. Lang. 22(4): 205-214 (1996) - 1995
- [j9]Weng-Fai Wong, Yoshio Oyanagi, Eiichi Goto:
Evaluation of the Hitachi S-3800 Supercomputer Using Six Benchmarks. Int. J. High Perform. Comput. Appl. 9(1): 58-70 (1995) - [j8]Weng-Fai Wong, Eiichi Goto:
Fast Evaluation of the Elementary Functions in Single Precision. IEEE Trans. Computers 44(3): 453-457 (1995) - [c5]Ming-Dong Feng, Weng-Fai Wong, Chung-Kwong Yuen:
Design and Implementation of Abstract Machine for Parallel Lisp Compilation. ICPP (2) 1995: 37-44 - [c4]Ming-Dong Feng, Weng-Fai Wong, Chung-Kwong Yuen:
Highy Efficient Parallel Lisp Implementation on Distributed Systems. PARCO 1995: 319-326 - [c3]Ming-Dong Feng, Weng-Fai Wong, Chung-Kwong Yuen:
Compiling Parallel Lisp for a Shared Memory Multiprocessor. Parallel and Distributed Computing and Systems 1995: 487-490 - 1994
- [j7]Weng-Fai Wong, Eiichi Goto:
A Simulation Study on the Interactions between Multithreaded Architectures and the Cache. Int. J. High Speed Comput. 6(2): 343-356 (1994) - [j6]Weng-Fai Wong, Eiichi Goto:
Fast Hardware-Based Algorithms for Elementary Function Computations Using Rectangular Multipliers. IEEE Trans. Computers 43(3): 278-294 (1994) - [c2]Weng-Fai Wong, Eiichi Goto:
Fast Evaluation of the Elementary Functions in Double Precision. HICSS (1) 1994: 349-359 - 1992
- [j5]Paul Spee, Weng-Fai Wong, M. Sato, Eiichi Goto:
Evaluation of the continuation bit in the Cyclic Pipeline Computer. Parallel Comput. 18(12): 1349-1361 (1992) - [j4]Weng-Fai Wong, Chung-Kwong Yuen:
A Model of Speculative Parallelism. Parallel Process. Lett. 2: 265-272 (1992) - 1991
- [j3]Paul Spee, Weng-Fai Wong, Eiichi Goto:
Effects of Multiple Instruction Stream Execution on Cache Performance. Int. J. High Speed Comput. 3(2): 135-155 (1991) - 1990
- [j2]Weng-Fai Wong, K. T. Lua:
A preliminary evaluation of a massively parallel processor: GAPP. Microprocessing and Microprogramming 29(1): 53-62 (1990) - [j1]Chung-Kwong Yuen, Weng-Fai Wong:
A self interpreter for BaLinda Lisp. ACM SIGPLAN Notices 25(7): 39-58 (1990)
1980 – 1989
- 1989
- [c1]Weng-Fai Wong, Chung-Kwong Yuen:
BIDDLE: a bidirectional data driven Lisp engine. TAI 1989: 207-214
Coauthor Index
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