Jason Cong

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 200

Top Venues

Publications

Daniel Bochen Tan, Wan-Hsuan Lin, Jason Cong
Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling. CoRR (2024)
Stéphane Pouget, Louis-Noël Pouchet, Jason Cong
Automatic Hardware Pragma Insertion in High-Level Synthesis: A Non-Linear Programming Approach. CoRR (2024)
Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference. CoRR (2024)
Daniel Bochen Tan, Shuohao Ping, Jason Cong
Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization. DATE (2024)
Hanyu Wang, Jason Cong, Giovanni De Micheli
Quantum State Preparation Using an Exact CNOT Synthesis Formulation. DATE (2024)
Hanyu Wang, Bochen Tan, Jason Cong, Giovanni De Micheli
Quantum State Preparation Using an Exact CNOT Synthesis Formulation. CoRR (2024)
Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. CoRR (2024)
Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. ASPLOS (3) (2024)
Stéphane Pouget, Louis-Noël Pouchet, Jason Cong
Enhancing High-Level Synthesis with Automated Pragma Insertion and Code Transformation Framework. CoRR (2024)
Daniel Bochen Tan, Shuohao Ping, Jason Cong
Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization. CoRR (2024)
Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han
Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. ISCA (2024)
Jason Cong
Scheduling and Physical Design. ISPD (2024)
Liqiang Lu, Zizhang Luo, Size Zheng, Jieming Yin, Jason Cong, Yun Liang, Jianwei Yin
Rubick: A Unified Infrastructure for Analyzing, Exploring, and Implementing Spatial Architectures via Dataflow Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (4) (2024)
Daniel Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong
Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors. Quantum 8 (2024)
Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong
HMT: Hierarchical Memory Transformer for Long Context Language Processing. CoRR (2024)
Stéphane Pouget, Louis-Noël Pouchet, Jason Cong
Automatic Hardware Pragma Insertion in High-Level Synthesis: A Non-Linear Programming Approach. FPGA (2024)
Zifan He, Linghao Song, Robert F. Lucas, Jason Cong
LevelST: Stream-based Accelerator for Sparse Triangular Solver. FPGA (2024)
Wan-Hsuan Lin, Jason Cong
ML-QLS: Multilevel Quantum Layout Synthesis. CoRR (2024)
Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
Democratizing Domain-Specific Computing. Commun. ACM 66 (1) (2023)
Young Kyu Choi, Carlos Santillana, Yujia Shen, Adnan Darwiche, Jason Cong
FPGA Acceleration of Probabilistic Sentential Decision Diagrams with High-level Synthesis. ACM Trans. Reconfigurable Technol. Syst. 16 (2) (2023)
Suhail Basalama, Jie Wang, Jason Cong
A Comprehensive Automated Exploration Framework for Systolic Array Designs. DAC (2023)
Gert Cauwenberghs, Jason Cong, X. Sharon Hu, Siddharth Joshi, Subhasish Mitra, Wolfgang Porod, H.-S. Philip Wong
Micro/Nano Circuits and Systems Design and Design Automation: Challenges and Opportunities. Proc. IEEE 111 (6) (2023)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Robust GNN-Based Representation Learning for HLS. ICCAD (2023)
Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, Jason Cong
Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver. FPGA (2023)
Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation. CoRR (2023)
Moazin Khatti, Xingyu Tian, Yuze Chi, Licheng Guo, Jason Cong, Zhenman Fang
PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs. FCCM (2023)
Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs. NeurIPS (2023)
Zizhang Luo, Liqiang Lu, Size Zheng, Jieming Yin, Jason Cong, Jianwei Yin, Yun Liang
Rubick: A Synthesis Framework for Spatial Architectures via Dataflow Decomposition. DAC (2023)
Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR (2023)
Daniel Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong
Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors. CoRR (2023)
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 (2023)
Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Licheng Guo, Jason Cong
FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA. ACM Trans. Reconfigurable Technol. Syst. 16 (2) (2023)
Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han
Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas. CoRR (2023)
Michael Lo, Young-kyu Choi, Weikang Qiao, Mau-Chung Frank Chang, Jason Cong
HMLib: Efficient Data Transfer for HLS Using Host Memory. FPGA (2023)
Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong
Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. ACM TUR-C (2023)
Young Kyu Choi, Yuze Chi, Jason Lau, Jason Cong
TARO: Automatic Optimization for Free-Running Kernels in FPGA High-Level Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. ACM Trans. Reconfigurable Technol. Syst. 16 (4) (2023)
Neha Prakriya, Yu Yang, Baharan Mirzasoleiman, Cho-Jui Hsieh, Jason Cong
NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training. HotStorage (2023)
Licheng Guo, Pongstorn Maidee, Yun Zhou, Chris Lavin, Eddie Hung, Wuxi Li, Jason Lau, Weikang Qiao, Yuze Chi, Linghao Song, Yuanlong Xiao, Alireza Kaviani, Zhiru Zhang, Jason Cong
RapidStream 2.0: Automated Parallel Implementation of Latency-Insensitive FPGA Designs Through Partial Reconfiguration. ACM Trans. Reconfigurable Technol. Syst. 16 (4) (2023)
Jason Cong
Lightning Talk: Scaling Up Quantum Compilation - Challenges and Opportunities. DAC (2023)
Wan-Hsuan Lin, Jason Kimko, Bochen Tan, Nikolaj S. Bjørner, Jason Cong
Scalable Optimal Layout Synthesis for NISQ Quantum Processors. DAC (2023)
Jason Cong, Michalis Romesis, Joseph R. Shinnerl, Kenton Sze, Min Xie
Locality and Utilization in Placement Suboptimality. CoRR (2023)
Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut Acar, Song Han
FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR (2023)
Zhe Chen, Garrett J. Blair, Chengdi Cao, Jim Zhou, Daniel Aharoni, Peyman Golshani, Hugh T. Blair, Jason Cong
FPGA-Based In-Vivo Calcium Image Decoding for Closed-Loop Feedback Applications. IEEE Trans. Biomed. Circuits Syst. 17 (2) (2023)
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)
Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. CoRR (2023)
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-Based FPGAs. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Licheng Guo, Pongstorn Maidee, Yun Zhou, Chris Lavin, Jie Wang, Yuze Chi, Weikang Qiao, Alireza Kaviani, Zhiru Zhang, Jason Cong
RapidStream: Parallel Physical Implementation of FPGA HLS Designs. FPGA (2022)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Automated Accelerator Optimization Aided by Graph Neural Networks. FPGA (2022)
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs. FCCM (2022)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators. ACM Trans. Design Autom. Electr. Syst. 27 (4) (2022)
Zhe Chen, Jim Zhou, Garrett J. Blair, Hugh T. Blair, Jason Cong
Efficient Kernels for Real-Time Position Decoding from In Vivo Calcium Images. ISCAS (2022)
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design. CoRR (2022)
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs. CoRR (2022)
Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
Democratizing Domain-Specific Computing. CoRR (2022)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Automated accelerator optimization aided by graph neural networks. DAC (2022)
Zhe Chen, Hugh T. Blair, Jason Cong
Energy-Efficient LSTM Inference Accelerator for Real-Time Causal Prediction. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong
Improving GNN-based accelerator design automation with meta learning. DAC (2022)
Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong
Qubit Mapping for Reconfigurable Atom Arrays. ICCAD (2022)
Sihao Liu, Jian Weng, Dylan Kupsh, Atefeh Sohrabizadeh, Zhengrong Wang, Licheng Guo, Jiuyang Liu, Maxim Zhulin, Rishabh Mani, Lucheng Zhang, Jason Cong, Tony Nowatzki
OverGen: Improving FPGA Usability through Domain-specific Overlay Generation. MICRO (2022)
Yuanhao Wu, Faruk V. Mutlu, Yuezhou Liu, Edmund Yeh, Ran Liu, Catalin Iordache, Justas Balcas, Harvey Newman, Raimondas Sirvinskas, Michael Lo, Sichen Song, Jason Cong, Lixia Zhang, Sankalpa Timilsina, Susmit Shannigrahi, Chengyu Fan, Davide Pesavento, Junxiao Shi, Lotfi Benmohamed
N-DISE: NDN-based data distribution for large-scale data-intensive science. ICN (2022)
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation. FPGA (2022)
Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, Jason Cong
Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver. CoRR (2022)
Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu, Jason Kimko, Jason Cong
Domain-Specific Quantum Architecture Optimization. CoRR (2022)
Yuze Chi, Licheng Guo, Jason Cong
Accelerating SSSP for Power-Law Graphs. FPGA (2022)
Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. FPGA (2022)
Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu, Jason Kimko, Jason Cong
Domain-Specific Quantum Architecture Optimization. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (3) (2022)
Linghao Song, Yuze Chi, Jason Cong
PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators. ICASSP (2022)
Linghao Song, Yuze Chi, Licheng Guo, Jason Cong
Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication. DAC (2022)
Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Jason Cong
A Versatile Systolic Array for Transposed and Dilated Convolution on FPGA. FCCM (2022)
Jason Cong, Jason Lau, Gai Liu, Stephen Neuendorffer, Peichen Pan, Kees A. Vissers, Zhiru Zhang
FPGA HLS Today: Successes, Challenges, and Opportunities. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing. CICC (2022)
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)
Yuze Chi, Licheng Guo, Jason Lau, Young-kyu Choi, Jie Wang, Jason Cong
Extending High-Level Synthesis for Task-Parallel Programs. FCCM (2021)
Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation. CoRR (2021)
Bochen Tan, Jason Cong
Optimal Qubit Mapping with Simultaneous Gate Absorption ICCAD Special Session Paper. ICCAD (2021)
Yuze Chi, Licheng Guo, Young-kyu Choi, Jie Wang, Jason Cong
Extending High-Level Synthesis for Task-Parallel Programs. FPGA (2021)
Bochen Tan, Jason Cong
Optimal Qubit Mapping with Simultaneous Gate Absorption. CoRR (2021)
Jason Cong
From Parallelization to Customization - Challenges and Opportunities. IPDPS (2021)
Bochen Tan, Jason Cong
Optimality Study of Existing Quantum Computing Layout Synthesis Tools. IEEE Trans. Computers 70 (9) (2021)
Weikang Qiao, Jihun Oh, Licheng Guo, Mau-Chung Frank Chang, Jason Cong
FANS: FPGA-Accelerated Near-Storage Sorting. FCCM (2021)
Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. ISCA (2021)
Linghao Song, Yuze Chi, Licheng Guo, Jason Cong
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication. CoRR (2021)
Zhe Chen, Garrett J. Blair, Hugh T. Blair, Jason Cong
Fast Calcium Trace Extraction for Large-Field-of-View Miniscope. BioCAS (2021)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks. CoRR (2021)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. FPGA (2021)
Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. CoRR (2021)
Licheng Guo, Yuze Chi, Jie Wang, Jason Lau, Weikang Qiao, Ecenur Ustun, Zhiru Zhang, Jason Cong
AutoBridge: Coupling Coarse-Grained Floorplanning and Pipelining for High-Frequency HLS Design on Multi-Die FPGAs. FPGA (2021)
Jie Wang, Licheng Guo, Jason Cong
AutoSA: A Polyhedral Compiler for High-Performance Systolic Arrays on FPGA. FPGA (2021)
Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. CoRR (2021)
Peipei Zhou, Jiayi Sheng, Cody Hao Yu, Peng Wei, Jie Wang, Di Wu, Jason Cong
MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators. FPGA (2021)
Linghao Song, Yuze Chi, Jason Cong
Pyxis: An Open-Source Performance Dataset of Sparse Accelerators. CoRR (2021)
Young-kyu Choi, Yuze Chi, Weikang Qiao, Nikola Samardzic, Jason Cong
HBM Connect: High-Performance HLS Interconnect for FPGA HBM. FPGA (2021)
Jie Wang, Jason Cong
Search for Optimal Systolic Arrays: A Comprehensive Automated Exploration Framework and Lessons Learned. CoRR (2021)
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 (2021)
Zhe Chen, Garrett J. Blair, Changliang Guo, Daniel Aharoni, Hugh T. Blair, Jason Cong
Live Demonstration: Real-Time Calcium Trace Extraction from Large-Field-of-View Miniscope. BioCAS (2021)
Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, Jason Cong
Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. DAC (2020)
Atefeh Sohrabizadeh, Jie Wang, Jason Cong
End-to-End Optimization of Deep Learning Applications. FPGA (2020)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. CoRR (2020)
Yuze Chi, Jason Cong
Exploiting Computation Reuse for Stencil Accelerators. DAC (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jason Cong