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2020 – today
- 2023
[j64]HyeGang Jun, Hanchen Ye, Hyunmin Jeong, Deming Chen:
AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis. ACM Trans. Reconfigurable Technol. Syst. 16(3): 46:1-46:30 (2023)- [c187]Deming Chen:
Lightning Talk: The Next Wave of High-level Synthesis. DAC 2023: 1-3 - [c186]Wei Ren, William Kozlowski, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke, Deming Chen:
AccShield: a New Trusted Execution Environment with Machine-Learning Accelerators. DAC 2023: 1-6 - [c185]Meghna Mandava
, Deming Chen:
Nimblock: Scheduling for Fine-grained FPGA Sharing through Virtualization. FPGA 2023: 49 - [c184]Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou:
CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture. FPGA 2023: 153-164 - [c183]Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey:
What Makes Convolutional Models Great on Long Sequence Modeling? ICLR 2023 - [c182]Meghna Mandava, Paul Reckamp, Deming Chen:
Nimblock: Scheduling for Fine-grained FPGA Sharing through Virtualization. ISCA 2023: 60:1-60:13 - [c181]Hanchen Ye, HyeGang Jun, Jin Yang, Deming Chen:
High-level Synthesis for Domain Specific Computing. ISPD 2023: 211-219 - [i45]Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou:
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture. CoRR abs/2301.02359 (2023) - [i44]Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-mei W. Hwu, Deming Chen, Sameh W. Asaad, Jian Huang:
RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. CoRR abs/2309.06513 (2023) - 2022
- [j63]Ashutosh Dhar, Edward Richter, Mang Yu, Wei Zuo, Xiaohao Wang, Nam Sung Kim, Deming Chen:
DML: Dynamic Partial Reconfiguration With Scalable Task Scheduling for Multi-Applications on FPGAs. IEEE Trans. Computers 71(10): 2577-2591 (2022) - [j62]Jianwei Zheng, Yu Liu, Xuejiao Liu, Luhong Liang, Deming Chen, Kwang-Ting Cheng:
ReAAP: A Reconfigurable and Algorithm-Oriented Array Processor With Compiler-Architecture Co-Design. IEEE Trans. Computers 71(12): 3088-3100 (2022) - [j61]Xiaofan Zhang, Yuan Ma, Jinjun Xiong, Wen-Mei W. Hwu, Volodymyr V. Kindratenko, Deming Chen:
Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1606-1619 (2022) - [j60]Xiaofan Zhang, Yuhong Li, Junhao Pan, Deming Chen:
Algorithm/Accelerator Co-Design and Co-Search for Edge AI. IEEE Trans. Circuits Syst. II Express Briefs 69(7): 3064-3070 (2022) - [j59]Deming Chen:
Note from the TRETS EiC about the new Journal-first track in FPT'21. ACM Trans. Reconfigurable Technol. Syst. 15(1): 7e:1 (2022) - [j58]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) - [c180]Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen:
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. ASP-DAC 2022: 140-146 - [c179]Hanchen Ye, HyeGang Jun, Hyunmin Jeong, Stephen Neuendorffer, Deming Chen:
ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations: invited. DAC 2022: 1355-1358 - [c178]Vibhakar Vemulapati, Deming Chen:
FSLAM: an Efficient and Accurate SLAM Accelerator on SoC FPGAs. FPT 2022: 1-9 - [c177]Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen:
ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation. HPCA 2022: 741-755 - [c176]Edward Richter, Deming Chen:
Qilin: Enabling Performance Analysis and Optimization of Shared-Virtual Memory Systems with FPGA Accelerators. ICCAD 2022: 23:1-23:9 - [c175]Deming Chen:
EDAML 2022 Invited Speaker 2: AI Algorithm and Accelerator Co-design for Computing on the Edge. IPDPS Workshops 2022: 1183 - [c174]Junhao Pan, Zehua Yuan, Xiaofan Zhang, Deming Chen:
YouHome System and Dataset: Making Your Home Know You Better. iSES 2022: 414-420 - [c173]Hongpeng Guo, Haotian Gu, Zhe Yang, Xiaoyang Wang, Eun Kyung Lee, Nandhini Chandramoorthy, Tamar Eilam, Deming Chen, Klara Nahrstedt:
BoFL: bayesian optimized local training pace control for energy efficient federated learning. Middleware 2022: 188-201 - [c172]Prakhar Ganesh, Yao Chen, Yin Yang, Deming Chen, Marianne Winslett:
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs. WACV 2022: 1311-1321 - [p2]S. T. Choden Konigsmark, Wei Ren, Martin D. F. Wong, Deming Chen:
High-Level Synthesis for Minimizing Power Side-Channel Information Leakage. Behavioral Synthesis for Hardware Security 2022: 291-317 - [i43]Xiaofan Zhang, Zongwei Zhou, Deming Chen, Yu Emma Wang:
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models. CoRR abs/2201.08539 (2022) - [i42]Philip C. Harris, Erik Katsavounidis, William Patrick McCormack, Dylan S. Rankin, Yongbin Feng, Abhijith Gandrakota, Christian Herwig, Burt Holzman, Kevin Pedro, Nhan Tran, Tingjun Yang, Jennifer Ngadiuba, Michael Coughlin, Scott Hauck, Shih-Chieh Hsu, Elham E Khoda, Deming Chen, Mark S. Neubauer, Javier M. Duarte, Georgia Karagiorgi, Mia Liu:
Physics Community Needs, Tools, and Resources for Machine Learning. CoRR abs/2203.16255 (2022) - [i41]Xiaofan Zhang, Yao Chen, Cong Hao, Sitao Huang, Yuhong Li, Deming Chen:
Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems. CoRR abs/2206.03326 (2022) - [i40]Mang Yu, Sitao Huang, Deming Chen:
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis. CoRR abs/2207.07917 (2022) - [i39]Yao Chen, Junhao Pan, Xinheng Liu, Jinjun Xiong, Deming Chen:
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation. CoRR abs/2208.00763 (2022) - [i38]Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey:
What Makes Convolutional Models Great on Long Sequence Modeling? CoRR abs/2210.09298 (2022) - [i37]Yuhong Li, Jiajie Li, Cong Han, Pan Li, Jinjun Xiong, Deming Chen:
Extensible Proxy for Efficient NAS. CoRR abs/2210.09459 (2022) - 2021
- [j57]Anand Ramachandran, Steven S. Lumetta, Eric W. Klee, Deming Chen:
HELLO: improved neural network architectures and methodologies for small variant calling. BMC Bioinform. 22(1): 404 (2021) - [j56]Luca Benini, Deming Chen, Jinjun Xiong, Zhiru Zhang:
Guest Editors' Introduction: Machine Intelligence at the Edge. IEEE Des. Test 38(4): 5-6 (2021) - [j55]Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen:
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign. IEEE Des. Test 38(4): 7-26 (2021) - [j54]Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu:
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. Proc. VLDB Endow. 14(11): 2087-2100 (2021) - [j53]Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Hassan Sajjad, Preslav Nakov, Deming Chen, Marianne Winslett:
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT. Trans. Assoc. Comput. Linguistics 9: 1061-1080 (2021) - [j52]Jianwei Zheng, Chao Lu, Cong Hao, Deming Chen, Donghui Guo:
Improving the Generalization Ability of Deep Neural Networks for Cross-Domain Visual Recognition. IEEE Trans. Cogn. Dev. Syst. 13(3): 607-620 (2021) - [j51]Cheng Gong, Yao Chen, Ye Lu, Tao Li, Cong Hao, Deming Chen:
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization. IEEE Trans. Computers 70(5): 696-710 (2021) - [j50]Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu:
PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. IEEE Trans. Computers 70(12): 2015-2028 (2021) - [j49]Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Efficient Methods for Mapping Neural Machine Translator on FPGAs. IEEE Trans. Parallel Distributed Syst. 32(7): 1866-1877 (2021) - [j48]Prakhar Ganesh, Xin Lou, Yao Chen, Rui Tan, David K. Y. Yau, Deming Chen, Marianne Winslett:
Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems. IEEE Trans. Smart Grid 12(4): 3581-3593 (2021) - [c171]Cong Hao, Deming Chen:
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems. AICAS 2021: 1-5 - [c170]Ashutosh Dhar, Paul Reckamp, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. ARC 2021: 254-264 - [c169]Hyunmin Jeong, Deming Chen:
TwinDNN: A Tale of Two Deep Neural Networks. ASAP 2021: 133-140 - [c168]Xinheng Liu, Yao Chen, Cong Hao, Ashutosh Dhar, Deming Chen:
WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs. ASAP 2021: 258-265 - [c167]Junhao Pan, Deming Chen:
Accelerate Non-unit Stride Convolutions with Winograd Algorithms. ASP-DAC 2021: 358-364 - [c166]Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic:
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 2021: 372-377 - [c165]Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li:
F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding. DAC 2021: 763-768 - [c164]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 - [c163]Chengyue Wang, Sitao Huang, Wen-Mei Hwu, Deming Chen:
Extending HLS with High-Level Descriptive Language for Configurable Algorithm-Level Spatial Structure Design. FCCM 2021: 261 - [c162]Hyunmin Jeong, Deming Chen:
TwinDNN: A Tale of Two Deep Neural Networks. FCCM 2021: 276 - [c161]Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra:
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. FMCAD 2021: 42-52 - [c160]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 - [c159]Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang:
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. FPGA 2021: 171-182 - [c158]Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu:
PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. FPGA 2021: 227-228 - [c157]Enliang Li, Subho S. Banerjee, Sitao Huang, Ravishankar K. Iyer, Deming Chen:
Improved GPU Implementations of the Pair-HMM Forward Algorithm for DNA Sequence Alignment. ICCD 2021: 299-306 - [c156]Mang Yu, Sitao Huang, Deming Chen:
Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis. IDEAL 2021: 524-536 - [c155]Wei Ren, Junhao Pan, Deming Chen:
AccGuard: Secure and Trusted Computation on Remote FPGA Accelerators. iSES 2021: 378-383 - [c154]Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Generic Neural Architecture Search via Regression. NeurIPS 2021: 20476-20490 - [c153]Sitao Huang, Kun Wu, Sai Rahul Chalamalasetti, Izzat El Hajj, Cong Xu, Paolo Faraboschi, Deming Chen:
A Python-based High-Level Programming Flow for CPU-FPGA Heterogeneous Systems : (Invited Paper). PEHC@SC 2021: 20-26 - [i36]Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu:
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. CoRR abs/2101.07956 (2021) - [i35]Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu:
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. CoRR abs/2103.03330 (2021) - [i34]Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li:
F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding. CoRR abs/2103.04958 (2021) - [i33]Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen:
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design. CoRR abs/2103.15750 (2021) - [i32]Xiaofan Zhang, Hanchen Ye, Deming Chen:
Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment. CoRR abs/2104.02251 (2021) - [i31]Cong Hao, Deming Chen:
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems. CoRR abs/2104.04000 (2021) - [i30]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) - [i29]Xinheng Liu, Yao Chen, Cong Hao, Ashutosh Dhar, Deming Chen:
WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs. CoRR abs/2107.04244 (2021) - [i28]Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen:
ScaleHLS: Scalable High-Level Synthesis through MLIR. CoRR abs/2107.11673 (2021) - [i27]Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Generic Neural Architecture Search via Regression. CoRR abs/2108.01899 (2021) - [i26]Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra:
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. CoRR abs/2108.06081 (2021) - [i25]Prakhar Ganesh, Yao Chen, Yin Yang, Deming Chen, Marianne Winslett:
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs. CoRR abs/2110.13713 (2021) - [i24]Qian Jiang, Xiaofan Zhang, Deming Chen, Minh N. Do, Raymond A. Yeh:
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search. CoRR abs/2111.12299 (2021) - [i23]Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen:
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. CoRR abs/2112.13972 (2021) - 2020
- [c152]Dae Hee Kim, Rakesh Nagi, Deming Chen:
Thanos: High-Performance CPU-GPU Based Balanced Graph Partitioning Using Cross-Decomposition. ASP-DAC 2020: 91-96 - [c151]Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen:
Is FPGA Useful for Hash Joins? CIDR 2020 - [c150]Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen:
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. DAC 2020: 1-6 - [c149]Eshan Singh, Florian Lonsing, Saranyu Chattopadhyay, Maxwell Strange, Peng Wei, Xiaofan Zhang, Yuan Zhou, Deming Chen, Jason Cong, Priyanka Raina, Zhiru Zhang, Clark W. Barrett, Subhasish Mitra:
A-QED Verification of Hardware Accelerators. DAC 2020: 1-6 - [c148]Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen:
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. DAC 2020: 1-6 - [c147]Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin:
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. FPGA 2020: 40-50 - [c146]Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. ACM Great Lakes Symposium on VLSI 2020: 283-290 - [c145]Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. ICCAD 2020: 61:1-61:9 - [c144]Yao Chen, Xin Long, Jiong He, Yuhang Chen, Hongshi Tan, Zhenxiang Zhang, Marianne Winslett, Deming Chen:
HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy. ICDCS 2020: 1231-1234 - [c143]Ashutosh Dhar, Xiaohao Wang, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei W. Hwu, Nam Sung Kim, Deming Chen:
FReaC Cache: Folded-logic Reconfigurable Computing in the Last Level Cache. MICRO 2020: 102-117 - [c142]Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen:
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. MLSys 2020 - [c141]Ashutosh Dhar, Mang Yu, Wei Zuo, Xiaohao Wang, Nam Sung Kim, Deming Chen:
Leveraging Dynamic Partial Reconfiguration with Scalable ILP Based Task Scheduling. VLSID 2020: 201-206 - [i22]Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin:
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. CoRR abs/2001.03535 (2020) - [i21]Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Deming Chen, Marianne Winslett, Hassan Sajjad, Preslav Nakov:
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT. CoRR abs/2002.11985 (2020) - [i20]Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen:
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. CoRR abs/2004.03804 (2020) - [i19]Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. CoRR abs/2005.02563 (2020) - [i18]Yao Chen, Xin Long, Jiong He, Yuhang Chen, Hongshi Tan, Zhenxiang Zhang, Marianne Winslett, Deming Chen:
HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy. CoRR abs/2005.08466 (2020) - [i17]Cheng Gong, Yao Chen, Ye Lu, Tao Li, Cong Hao, Deming Chen:
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization. CoRR abs/2005.08501 (2020) - [i16]Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. CoRR abs/2008.12745 (2020) - [i15]Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. CoRR abs/2010.07185 (2020) - [i14]Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang:
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. CoRR abs/2012.12206 (2020)
2010 – 2019
- 2019
- [j47]Subho S. Banerjee, Mohamed El-Hadedy, Jong Bin Lim, Zbigniew T. Kalbarczyk, Deming Chen, Steven S. Lumetta, Ravishankar K. Iyer:
ASAP: Accelerated Short-Read Alignment on Programmable Hardware. IEEE Trans. Computers 68(3): 331-346 (2019) - [j46]Keith A. Campbell, Chen-Hsuan Lin, Deming Chen:
Cost-Effective Error Detection Through Mersenne Modulo Shadow Datapaths. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1056-1069 (2019) - [j45]Keith A. Campbell, David Lin, Leon He, Liwei Yang, Swathi T. Gurumani, Kyle Rupnow, Subhasish Mitra, Deming Chen:
Hybrid Quick Error Detection: Validation and Debug of SoCs Through High-Level Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(7): 1345-1358 (2019) - [j44]Jianwei Zheng, Chao Lu, Jiefeng Guo, Deming Chen, Donghui Guo:
A Hardware-Efficient Block Matching Algorithm and Its Hardware Design for Variable Block Size Motion Estimation in Ultra-High-Definition Video Encoding. ACM Trans. Design Autom. Electr. Syst. 24(2): 15:1-15:21 (2019) - [j43]Deming Chen:
Editorial: A Message from the New Editor-in-Chief. ACM Trans. Reconfigurable Technol. Syst. 12(2) (2019) - [c140]Anand Ramachandran, Steven S. Lumetta, Eric W. Klee, Deming Chen:
A recurrent Markov state-space generative model for sequences. AISTATS 2019: 3070-3079 - [c139]Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Implementing neural machine translation with bi-directional GRU and attention mechanism on FPGAs using HLS. ASP-DAC 2019: 693-698 - [c138]Eric Cheng, Daniel Mueller-Gritschneder, Jacob A. Abraham, Pradip Bose, Alper Buyuktosunoglu, Deming Chen, Hyungmin Cho, Yanjing Li, Uzair Sharif, Kevin Skadron, Mircea Stan, Ulf Schlichtmann, Subhasish Mitra:
Cross-Layer Resilience: Challenges, Insights, and the Road Ahead. DAC 2019: 198 - [c137]Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen:
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. DAC 2019: 206 - [c136]Yao Chen, Jiong He, Xiaofan Zhang, Cong Hao, Deming Chen:
Cloud-DNN: An Open Framework for Mapping DNN Models to Cloud FPGAs. FPGA 2019: 73-82 - [c135]Deming Chen:
FPGAs in Supercomputers: Opportunity or Folly? FPGA 2019: 201 - [c134]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 - [c133]Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu:
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. FPL 2019: 301-306 - [c132]Sitao Huang, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Deming Chen, Wen-Mei W. Hwu:
Accelerating Sparse Deep Neural Networks on FPGAs. HPEC 2019: 1-7 - [c131]Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen:
When CTC Training Meets Acoustic Landmarks. ICASSP 2019: 5996-6000 - [c130]Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-Mei Hwu, Junli Gu, Deming Chen:
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving. ICCAD 2019: 1-8 - [c129]Cheng Gong, Tao Li, Ye Lu, Cong Hao, Xiaofan Zhang, Deming Chen, Yao Chen:
µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression. IJCNN 2019: 1-8 - [c128]