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2020 – today
- 2024
[j67]Anand Ramachandran
, Steven S. Lumetta, Deming Chen:
PandoGen: Generating complete instances of future SARS-CoV-2 sequences using Deep Learning. PLoS Comput. Biol. 20(1) (2024)- [j66]Yongan Zhang, Xiaofan Zhang, Pengfei Xu, Yang Zhao, Cong Hao, Deming Chen, Yingyan Lin:
AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3143-3156 (2024) - [c202]Yuan Ma, Scott Smith, Bill Gropp, Hubertus Franke, Bharat Sukhwani, Sameh W. Asaad, Jinjun Xiong, Volodymyr V. Kindratenko, Deming Chen:
UniNet: Accelerating the Container Network Data Plane in IaaS Clouds. CLOUD 2024: 115-127 - [c201]Wei Ren, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke, Deming Chen:
S2TAR: Shared Secure Trusted Accelerators with Reconfiguration for Machine Learning in the Cloud. CLOUD 2024: 267-278 - [c200]Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen:
OS4C: An Open-Source SR-IOV System for SmartNIC-Based Cloud Platforms. CLOUD 2024: 365-375 - [c199]Zehua Yuan, Junhao Pan, Xiaofan Zhang, Deming Chen:
HomeSGN: A Smarter Home with Novel Rule Mining Enabled by a Scorer-Generator GAN. ASPDAC 2024: 102-108 - [c198]Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen:
Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification. ASPDAC 2024: 435-441 - [c197]Hanchen Ye, Hyegang Jun, Deming Chen:
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. ASPLOS (1) 2024: 215-230 - [c196]Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu:
Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS. DATE 2024: 1-6 - [c195]Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen:
OS4C: An Open-Source SR-IOV System for SmartNIC-based Cloud Platforms. FCCM 2024: 218 - [c194]Hongpeng Guo, Haotian Gu, Xiaoyang Wang, Bo Chen, Eun Kyung Lee, Tamar Eilam, Deming Chen, Klara Nahrstedt:
FedCore: Straggler-Free Federated Learning with Distributed Coresets. ICC 2024: 280-286 - [c193]Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao:
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. ICML 2024 - [c192]Deming Chen:
RAW 2024 Monday Keynote. IPDPS (Workshops) 2024: 82 - [i54]Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao:
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. CoRR abs/2401.10774 (2024) - [i53]Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu:
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS. CoRR abs/2401.12343 (2024) - [i52]Hongpeng Guo, Haotian Gu, Xiaoyang Wang, Bo Chen, Eun Kyung Lee, Tamar Eilam, Deming Chen, Klara Nahrstedt:
FedCore: Straggler-Free Federated Learning with Distributed Coresets. CoRR abs/2402.00219 (2024) - [i51]Sean Farhat, Deming Chen:
On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small Models. CoRR abs/2404.03263 (2024) - [i50]Daisuke Mashima, Yao Chen, Muhammad M. Roomi, Subhash Lakshminarayana, Deming Chen:
Cybersecurity for Modern Smart Grid against Emerging Threats. CoRR abs/2404.04466 (2024) - [i49]Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen:
SnapKV: LLM Knows What You are Looking for Before Generation. CoRR abs/2404.14469 (2024) - [i48]Jingru Jia, Zehua Yuan, Junhao Pan, Paul McNamara, Deming Chen:
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context. CoRR abs/2406.05972 (2024) - [i47]Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen:
New Solutions on LLM Acceleration, Optimization, and Application. CoRR abs/2406.10903 (2024) - 2023
- [j65]Daisuke Mashima, Yao Chen, Muhammad M. Roomi, Subhash Lakshminarayana, Deming Chen:
Cybersecurity for Modern Smart Grid Against Emerging Threats. Found. Trends Priv. Secur. 5(4): 189-285 (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) - [c191]Deming Chen:
Lightning Talk: The Next Wave of High-level Synthesis. DAC 2023: 1-3 - [c190]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 - [c189]Meghna Mandava, Deming Chen:
Nimblock: Scheduling for Fine-grained FPGA Sharing through Virtualization. FPGA 2023: 49 - [c188]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 - [c187]Luyang Yu, Yizhen Lu, Meghna Mandava, Edward Richter, Vikram Sharma Mailthody, Seungwon Min, Wen-Mei W. Hwu, Deming Chen:
FSSD: FPGA-Based Emulator for SSDs. FPL 2023: 101-108 - [c186]Yizhen Lu, Luyang Yu, Deming Chen:
SSDe: FPGA-Based SSD Express Emulation Framework. ICCAD 2023: 1-9 - [c185]Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Extensible and Efficient Proxy for Neural Architecture Search. ICCV 2023: 6176-6187 - [c184]Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey:
What Makes Convolutional Models Great on Long Sequence Modeling? ICLR 2023 - [c183]Meghna Mandava, Paul Reckamp, Deming Chen:
Nimblock: Scheduling for Fine-grained FPGA Sharing through Virtualization. ISCA 2023: 60:1-60:13 - [c182]Hanchen Ye, HyeGang Jun, Jin Yang, Deming Chen:
High-level Synthesis for Domain Specific Computing. ISPD 2023: 211-219 - [c181]Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-Mei Hwu, Deming Chen, Sameh W. Asaad, Jian Huang:
RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. SOSP 2023: 182-199 - [i46]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) - [i45]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) - [i44]Hanchen Ye, HyeGang Jun, Deming Chen:
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. CoRR abs/2311.03379 (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,