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2020 – today
- 2024
- [j12]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): 1544-1558 (2024) - [c67]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 - [c66]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: 413-425 - [c65]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: 45-57 - [c64]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: 14-20 - [i35]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 abs/2403.10042 (2024) - [i34]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 abs/2406.01559 (2024) - [i33]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 abs/2407.04272 (2024) - [i32]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 abs/2407.11098 (2024) - 2023
- [j11]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): 246-261 (2023) - [c63]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: 9354-9363 - [c62]Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu:
TransFlow: Transformer as Flow Learner. CVPR 2023: 18063-18073 - [c61]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: 1-6 - [c60]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: 1-6 - [c59]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: 1-6 - [c58]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: 1-9 - [c57]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: 336-347 - [c56]Pouya Haghi
, William Krska
, Cheng Tan
, Tong Geng
, Po-Hao Chen
, Connor Greenwood
, Anqi Guo
, Thomas M. Hines
, Chunshu Wu
, Ang Li
, Anthony Skjellum
, Martin C. Herbordt
:
FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. ICS 2023: 450-462 - [c55]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: 465-478 - [c54]James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu:
ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS 2023 - [c53]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 - [c52]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: 779-795 - [c51]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: 98:1-98:14 - [i31]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 abs/2302.02292 (2023) - [i30]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 abs/2303.10881 (2023) - [i29]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 abs/2304.02525 (2023) - [i28]Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu:
TransFlow: Transformer as Flow Learner. CoRR abs/2304.11523 (2023) - [i27]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 abs/2306.15513 (2023) - [i26]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 abs/2308.11825 (2023) - [i25]James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu:
ClusterFormer: Clustering As A Universal Visual Learner. CoRR abs/2309.13196 (2023) - [i24]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 abs/2309.14331 (2023) - [i23]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 abs/2311.04417 (2023) - 2022
- [j10]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) - [j9]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: 105179 (2022) - [j8]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: 1-10 (2022) - [c50]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: 1135-1140 - [c49]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: 1-2 - [c48]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: 1-8 - [c47]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: 101-108 - [c46]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. FPL 2022: 200-208 - [c45]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: 304-316 - [c44]Haoran You
, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin:
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA 2022: 460-474 - [c43]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: 1-7 - [c42]Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan:
Towards Real-Time Temporal Graph Learning. ICCD 2022: 263-271 - [c41]Hongwu Peng
, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding:
Towards Sparsification of Graph Neural Networks. ICCD 2022: 272-279 - [c40]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: 280-289 - [c39]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: 290-297 - [c38]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: 4:1-4:13 - [c37]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: 12:1-12:13 - [i22]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 abs/2203.03606 (2022) - [i21]Wei Sun, Ang Li, Tong Geng, Sander Stuijk, Henk Corporaal:
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numerical Behaviors. CoRR abs/2206.02874 (2022) - [i20]Yanfei Li, Tong Geng, Samuel Alexander Stein, Ang Li, Huimin Yu:
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm. CoRR abs/2206.03291 (2022) - [i19]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 abs/2206.08482 (2022) - [i18]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 abs/2206.13734 (2022) - [i17]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 abs/2208.03646 (2022) - [i16]Hongwu Peng
, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding:
Towards Sparsification of Graph Neural Networks. CoRR abs/2209.04766 (2022) - [i15]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 abs/2209.06800 (2022) - [i14]Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan:
Towards Real-Time Temporal Graph Learning. CoRR abs/2210.04114 (2022) - 2021
- [b1]Tong Geng:
FPGA-based high-performance neural network acceleration. Boston University, USA, 2021 - [j7]Yanfei Li
, Tong Geng
, Ang Li
, Huimin Yu:
BCNN: Binary complex neural network. Microprocess. Microsystems 87: 104359 (2021) - [j6]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): 1414 (2021) - [j5]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): 5137 (2021) - [j4]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): 199-213 (2021) - [j3]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): 2880-2892 (2021) - [c36]Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan:
Comparison Lift: Bandit-based Experimentation System for Online Advertising. AAAI 2021: 15117-15126 - [c35]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: 85-92 - [c34]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: 149-155 - [c33]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: 142-151 - [c32]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: 1-8 - [c31]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: 1-8 - [c30]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: 1-8 - [c29]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: 1-7 - [c28]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: 1-7 - [c27]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: 1-9 - [c26]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: 33-40 - [c25]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: 142-148 - [c24]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: 1051-1063 - [c23]Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding:
APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. SC 2021: 37 - [i13]Yanfei Li, Tong Geng, Ang Li, Huimin Yu:
BCNN: Binary Complex Neural Network. CoRR abs/2104.10044 (2021) - [i12]Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding:
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. CoRR abs/2106.12169 (2021) - [i11]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 abs/2106.13306 (2021) - [i10]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 abs/2108.04811 (2021) - [i9]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 abs/2109.06355 (2021) - [i8]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 abs/2109.08983 (2021) - [i7]Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin:
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR abs/2112.11594 (2021) - 2020
- [j2]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): 7011 (2020) - [j1]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): 1143-1158 (2020) - [c22]Tong Geng, Xiliang Lin, Harikesh S. Nair:
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. AAAI 2020: 13273-13279 - [c21]Pouya Haghi
, Tong Geng, Anqi Guo, Tianqi Wang, Martin C. Herbordt:
FP-AMG: FPGA-Based Acceleration Framework for Algebraic Multigrid Solvers. FCCM 2020: 148-156 - [c20]Tong Geng, Chunshu Wu, Cheng Tan
, Bo Fang, Ang Li, Martin C. Herbordt:
CQNN: a CGRA-based QNN Framework. HPEC 2020: 1-7 - [c19]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: 1-10 - [c18]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: 1-8 - [c17]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: 159-164 - [c16]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: 24:1-24:12 - [c15]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: 922-936 - [i6]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 abs/2005.05758 (2020) - [i5]Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan:
Comparison Lift: Bandit-based Experimentation System for Online Advertising. CoRR abs/2009.07899 (2020)
2010 – 2019
- 2019
- [c14]Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Shuaiwen Leon Song, Ang Li, Martin C. Herbordt:
LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism. ASAP 2019: 9-16 - [c13]Tianqi Wang, Tong Geng, Xi Jin, Martin C. Herbordt:
Accelerating AP3M-Based Computational Astrophysics Simulations with Reconfigurable Clusters. ASAP 2019: 181-184 - [c12]Chen Yang, Tong Geng, Tianqi Wang, Charles Lin, Jiayi Sheng, Vipin Sachdeva
, Woody Sherman
, Martin C. Herbordt:
Molecular Dynamics Range-Limited Force Evaluation Optimized for FPGAs. ASAP 2019: 263-271 - [c11]Tianqi Wang, Tong Geng, Xi Jin, Martin C. Herbordt:
FP-AMR: A Reconfigurable Fabric Framework for Adaptive Mesh Refinement Applications. FCCM 2019: 245-253 - [c10]Qingqing Xiong, Rushi Patel, Chen Yang, Tong Geng, Anthony Skjellum, Martin C. Herbordt:
GhostSZ: A Transparent FPGA-Accelerated Lossy Compression Framework. FCCM 2019: 258-266 - [c9]Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Wei Wu
, Ang Li, Martin C. Herbordt:
O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning. ICS 2019: 461-472 - [c8]Ang Li, Tong Geng, Tianqi Wang, Martin C. Herbordt, Shuaiwen Leon Song, Kevin J. Barker
:
BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets. SC 2019: 38:1-38:30 - [c7]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: 67:1-67:31 - [i4]Tong Geng, Tianqi Wang, Ang Li, Xi Jin, Martin C. Herbordt:
A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing. CoRR abs/1901.01007 (2019) - [i3]Chen Yang, Tong Geng, Tianqi Wang, Rushi Patel, Qingqing Xiong, Ahmed Sanaullah, Jiayi Sheng, Charles Lin, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt:
Fully Integrated On-FPGA Molecular Dynamics Simulations. CoRR abs/1905.05359 (2019) - [i2]Tong Geng, Xiliang Lin, Harikesh S. Nair:
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. CoRR abs/1907.02178 (2019) - [i1]Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Antonino Tumeo, Martin C. Herbordt:
UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing. CoRR abs/1908.10834 (2019) - 2018
- [c6]Tong Geng, Tianqi Wang, Ahmed Sanaullah, Chen Yang, Rui Xu, Rushi Patel, Martin C. Herbordt:
FPDeep: Acceleration and Load Balancing of CNN Training on FPGA Clusters. FCCM 2018: 81-84 - [c5]Tong Geng, Tianqi Wang, Ahmed Sanaullah, Chen Yang, Rushi Patel, Martin C. Herbordt:
A Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Work and Weight Load Balancing. FPL 2018: 394-398 - [c4]Tong Geng, Erkan Diken, Tianqi Wang, Lech Józwiak, Martin C. Herbordt:
An Access-Pattern-Aware On-Chip Vector Memory System with Automatic Loading for SIMD Architectures. HPEC 2018: 1-7 - [c3]Zikun Xiang, Tianqi Wang, Tong Geng, Tian Xiang, Xi Jin, Martin C. Herbordt:
Soft-Core. Multiple-Lane, FPGA-based ADCs for a Liquid Helium Environment. HPEC 2018: 1-6 - 2016
- [c2]Tong Geng, Luc Waeijen, Maurice Peemen, Henk Corporaal, Yifan He:
MacSim: A MAC-Enabled High-Performance Low-Power SIMD Architecture. DSD 2016: 160-167 - [c1]Yifan He, Maurice Peemen, Luc Waeijen, Erkan Diken, Mattia Fiumara, Gerard K. Rauwerda, Henk Corporaal, Tong Geng:
A configurable SIMD architecture with explicit datapath for intelligent learning. SAMOS 2016: 156-163
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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