Tong Geng

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 116

Top Venues

Publications

Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
Prototypical Transformer as Unified Motion Learners. CoRR (2024)
Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang
Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids. CoRR (2024)
Yuxing Wang, Junhan Zhao, Hongye Xu, Cheng Han, Zhiqiang Tao, Dawei Zhou, Tong Geng, Dongfang Liu, Zhicheng Ji
A systematic evaluation of computational methods for cell segmentation. Briefings Bioinform. 25 (5) (2024)
Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. ICLR (2024)
Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt
SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications. ICS (2024)
Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. CoRR (2024)
Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. ICPE (Companion) (2024)
Ruibing Song, Chunshu Wu, Chuan Liu, Ang Li, Michael C. Huang, Tong Geng
DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems. ISCA (2024)
Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu
Inertial Confinement Fusion Forecasting via LLMs. CoRR (2024)
Chunshu Wu, Chen Yang, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Ang Li, Martin C. Herbordt
FPGA-Accelerated Range-Limited Molecular Dynamics. IEEE Trans. Computers 73 (6) (2024)
Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. ICCAD (2023)
Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu
TransFlow: Transformer as Flow Learner. CVPR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR (2023)
Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. AAAI (2023)
Pouya Haghi, William Krska, Cheng Tan, Tong Geng, Po-Hao Chen, Connor Greenwood, Anqi Guo, Thomas Hines, Chunshu Wu, Ang Li, Anthony Skjellum, Martin C. Herbordt
FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. ICS (2023)
Xiaodong Zhao, YiXuan Luo, Juejing Liu, Wenjun Liu, Kevin M. Rosso, Xiaofeng Guo, Tong Geng, Ang Li, Xin Zhang
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation. CoRR (2023)
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. CoRR (2023)
Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang
Supporting Energy-Based Learning With An Ising Machine Substrate: A Case Study on RBM. CoRR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC (2023)
James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS (2023)
Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt
FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics. SC (2023)
Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael C. Huang, Tong Geng
Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning. DAC (2023)
Wei Sun, Ang Li, Tong Geng, Sander Stuijk, Henk Corporaal
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors. IEEE Trans. Parallel Distributed Syst. 34 (1) (2023)
Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang
Supporting Energy-based Learning with an Ising Machine substrate: a Case Study on RBM. MICRO (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR (2023)
Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu
TransFlow: Transformer as Flow Learner. CoRR (2023)
Yixuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng
ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs. DAC (2023)
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. NeurIPS (2023)
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI (2023)
Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. CoRR (2023)
Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. CoRR (2023)
Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng
Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. ICS (2023)
James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
ClusterFormer: Clustering As A Universal Visual Learner. CoRR (2023)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC (2022)
Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
Towards Real-Time Temporal Graph Learning. ICCD (2022)
Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
Towards Sparsification of Graph Neural Networks. CoRR (2022)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Shijin Duan, Nuo Xu, Ran Ran, Shaoyi Huang, Chenghong Wang, Tong Geng, Ang Li, Wujie Wen, Xiaolin Xu, Caiwen Ding
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference. CoRR (2022)
Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. ICCD (2022)
Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. ICS (2022)
Yanfei Li, Tong Geng, Samuel Alexander Stein, Ang Li, Huimin Yu
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm. CoRR (2022)
Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt
FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. FCCM (2022)
Shengkai Zhang, Tong Geng, Chaohui Zhu, Jiaxing Li, Xiao Li, Benxin Zhu, Laixing Liu, Feng Xiao
Arctic Sea Ice Freeboard Estimation and Variations From Operation IceBridge. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt
A Framework for Neural Network Inference on FPGA-Centric SmartNICs. FPL (2022)
Yixuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng
CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. ICCD (2022)
Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Lit, Dingwen Tao
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. FPL (2022)
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. CoRR (2022)
Xiao Li, Shengkai Zhang, Tong Geng, Jiaxing Li, Benxin Zhu, Laixing Liu, Feng Xiao
An improved algorithm for extracting crossovers of satellite ground tracks. Comput. Geosci. 166 (2022)
Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. CoRR (2022)
Po-Hao Chen, Pouya Haghi, Jae Yoon Chung, Tong Geng, Richard West, Anthony Skjellum, Martin C. Herbordt
The Viability of Using Online Prediction to Perform Extra Work while Executing BSP Applications. HPEC (2022)
Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Orner Khan, Caiwen Ding
Towards Sparsification of Graph Neural Networks. ICCD (2022)
Wei Sun, Ang Li, Tong Geng, Sander Stuijk, Henk Corporaal
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numerical Behaviors. CoRR (2022)
Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li
ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. ICS (2022)
Pouya Haghi, Anqi Guo, Qingqing Xiong, Chen Yang, Tong Geng, Justin T. Broaddus, Ryan J. Marshall, Derek Schafer, Anthony Skjellum, Martin C. Herbordt
Reconfigurable switches for high performance and flexible MPI collectives. Concurr. Comput. Pract. Exp. 34 (6) (2022)
Chunshu Wu, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
Optimized Mappings for Symmetric Range-Limited Molecular Force Calculations on FPGAs. FPL (2022)
Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA (2022)
Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
Towards Real-Time Temporal Graph Learning. CoRR (2022)
Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. CoRR (2022)
Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. HPCA (2022)
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR (2022)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR (2022)
Shengkai Zhang, Yue Xuan, Jiaxing Li, Tong Geng, Xiao Li, Feng Xiao
Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data. Remote. Sens. 13 (8) (2021)
Pouya Haghi, Anqi Guo, Tong Geng, Anthony Skjellum, Martin C. Herbordt
Workload Imbalance in HPC Applications: Effect on Performance of In-Network Processing. HPEC (2021)
Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. CoRR (2021)
Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Runbin Shi, Wei Wu, Martin C. Herbordt
O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference. IEEE Trans. Parallel Distributed Syst. 32 (1) (2021)
Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang
FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. ICCAD (2021)
Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression. CoRR (2021)
Cheng Tan, Chenhao Xie, Tong Geng, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. IEEE Trans. Parallel Distributed Syst. 32 (12) (2021)
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
Binary Complex Neural Network Acceleration on FPGA. CoRR (2021)
Chunshu Wu, Sahan Bandara, Tong Geng, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
System-Level Modeling of GPU/FPGA Clusters for Molecular Dynamics Simulations. HPEC (2021)
Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. SC (2021)
Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP (2021)
Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. ICCD (2021)
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD (2021)
Yanfei Li, Tong Geng, Ang Li, Huimin Yu
BCNN: Binary Complex Neural Network. CoRR (2021)
Yanfei Li, Tong Geng, Ang Li, Huimin Yu
BCNN: Binary complex neural network. Microprocess. Microsystems 87 (2021)
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR (2021)
Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
Comparison Lift: Bandit-based Experimentation System for Online Advertising. AAAI (2021)
Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li
A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs. HPEC (2021)
Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED (2021)
Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR (2021)
Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. MICRO (2021)
Tong Geng, Shengkai Zhang, Feng Xiao, Jiaxing Li, Yue Xuan, Xiao Li, Fei Li
DEM Generation with ICESat-2 Altimetry Data for the Three Antarctic Ice Shelves: Ross, Filchner-Ronne and Amery. Remote. Sens. 13 (24) (2021)
Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. ICCAD (2021)
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
Binary Complex Neural Network Acceleration on FPGA : (Invited Paper). ASAP (2021)
Chunshu Wu, Tong Geng, Sahan Bandara, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
Upgrade of FPGA Range-Limited Molecular Dynamics to Handle Hundreds of Processors. FCCM (2021)
Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. CoRR (2021)
Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. MICRO (2020)
Tong Geng, Chunshu Wu, Cheng Tan, Bo Fang, Ang Li, Martin C. Herbordt
CQNN: a CGRA-based QNN Framework. HPEC (2020)
Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks. CoRR (2020)
Feng Xiao, Fei Li, Shengkai Zhang, Jiaxing Li, Tong Geng, Yue Xuan
Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method. Sensors 20 (24) (2020)
Tong Geng, Xiliang Lin, Harikesh S. Nair
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. AAAI (2020)
Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
Comparison Lift: Bandit-based Experimentation System for Online Advertising. CoRR (2020)
Pouya Haghi, Anqi Guo, Qingqing Xiong, Rushi Patel, Chen Yang, Tong Geng, Justin T. Broaddus, Ryan J. Marshall, Anthony Skjellum, Martin C. Herbordt
FPGAs in the Network and Novel Communicator Support Accelerate MPI Collectives. HPEC (2020)
Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang
CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. ICS (2020)
Tianqi Wang, Tong Geng, Ang Li, Xi Jin, Martin C. Herbordt
FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters. IEEE Trans. Computers 69 (8) (2020)
Pouya Haghi, Tong Geng, Anqi Guo, Tianqi Wang, Martin C. Herbordt
FP-AMG: FPGA-Based Acceleration Framework for Algebraic Multigrid Solvers. FCCM (2020)
Chunshu Wu, Tong Geng, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
A Communication-Efficient Multi-Chip Design for Range-Limited Molecular Dynamics. HPEC (2020)
Pouya Haghi, Anqi Guo, Tong Geng, Justin T. Broaddus, Derek Schafer, Anthony Skjellum, Martin C. Herbordt
A Reconfigurable Compute-in-the-Network FPGA Assistant for High-Level Collective Support with Distributed Matrix Multiply Case Study. FPT (2020)
Tianqi Wang, Tong Geng, Xi Jin, Martin C. Herbordt
Accelerating AP3M-Based Computational Astrophysics Simulations with Reconfigurable Clusters. ASAP (2019)
Chen Yang, Tong Geng, Tianqi Wang, Rushi Patel, Qingqing Xiong, Ahmed Sanaullah, Chunshu Wu, Jiayi Sheng, Charles Lin, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
Fully integrated FPGA molecular dynamics simulations. SC (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tong Geng