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ORCIDJason Cong
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- affiliation: University of California, Los Angeles, USA
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2020 – today
- 2024
[j136]Daniel Bochen Tan
, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong:
Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors. Quantum 8: 1281 (2024)- [j135]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): 1177-1190 (2024) - [j134]Moazin Khatti, Xingyu Tian, Ahmad Sedigh Baroughi, Akhil Raj Baranwal, Yuze Chi, Licheng Guo, Jason Cong, Zhenman Fang:
PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs. ACM Trans. Reconfigurable Technol. Syst. 17(3): 42:1-42:31 (2024) - [j133]Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Shixin Ji, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Yiyu Shi, Deming Chen, Jason Cong, Peipei Zhou:
CHARM 2.0: Composing Heterogeneous Accelerators for Deep Learning on Versal ACAP Architecture. ACM Trans. Reconfigurable Technol. Syst. 17(3): 51:1-51:31 (2024) - [c423]Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong:
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. ASPLOS (3) 2024: 966-980 - [c422]Tianqi Zhang, Neha Prakriya, Sumukh Pinge, Jason Cong, Tajana Rosing:
SpectraFlux: Harnessing the Flow of Multi-FPGA in Mass Spectrometry Clustering. DAC 2024: 56:1-56:6 - [c421]Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han:
Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas. DAC 2024: 306:1-306:6 - [c420]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: 1-6 - [c419]Hanyu Wang, Jason Cong, Giovanni De Micheli:
Quantum State Preparation Using an Exact CNOT Synthesis Formulation. DATE 2024: 1-6 - [c418]Zifan He, Linghao Song, Robert F. Lucas, Jason Cong:
LevelST: Stream-based Accelerator for Sparse Triangular Solver. FPGA 2024: 67-77 - [c417]Stéphane Pouget, Louis-Noël Pouchet, Jason Cong:
Automatic Hardware Pragma Insertion in High-Level Synthesis: A Non-Linear Programming Approach. FPGA 2024: 184 - [c416]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: 293-309 - [c415]Jason Cong:
Scheduling and Physical Design. ISPD 2024: 219-225 - [c414]Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong:
Learning to Compare Hardware Designs for High-Level Synthesis. MLCAD 2024: 2:1-2:7 - [c413]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. MLCAD 2024: 14:1-14:12 - [i48]Hanyu Wang, Bochen Tan, Jason Cong, Giovanni De Micheli:
Quantum State Preparation Using an Exact CNOT Synthesis Formulation. CoRR abs/2401.01009 (2024) - [i47]Daniel Bochen Tan, Shuohao Ping, Jason Cong:
Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization. CoRR abs/2401.13807 (2024) - [i46]Stéphane Pouget, Louis-Noël Pouchet, Jason Cong:
Enhancing High-Level Synthesis with Automated Pragma Insertion and Code Transformation Framework. CoRR abs/2405.03058 (2024) - [i45]Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong:
HMT: Hierarchical Memory Transformer for Long Context Language Processing. CoRR abs/2405.06067 (2024) - [i44]Stéphane Pouget, Louis-Noël Pouchet, Jason Cong:
Automatic Hardware Pragma Insertion in High-Level Synthesis: A Non-Linear Programming Approach. CoRR abs/2405.12304 (2024) - [i43]Daniel Bochen Tan, Wan-Hsuan Lin, Jason Cong:
Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling. CoRR abs/2405.15095 (2024) - [i42]Wan-Hsuan Lin, Jason Cong:
ML-QLS: Multilevel Quantum Layout Synthesis. CoRR abs/2405.18371 (2024) - [i41]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 abs/2406.09606 (2024) - [i40]Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference. CoRR abs/2407.09722 (2024) - [i39]Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong:
Efficient Task Transfer for HLS DSE. CoRR abs/2408.13270 (2024) - [i38]Neha Prakriya, Jui-Nan Yen, Cho-Jui Hsieh, Jason Cong:
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review. CoRR abs/2409.06131 (2024) - [i37]Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong:
Learning to Compare Hardware Designs for High-Level Synthesis. CoRR abs/2409.13138 (2024) - [i36]Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference. CoRR abs/2409.16560 (2024) - [i35]Jason Lau, Yuanlong Xiao, Yutong Xie, Yuze Chi, Linghao Song, Shaojie Xiang, Michael Lo, Zhiru Zhang, Jason Cong, Licheng Guo:
RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis. CoRR abs/2410.13079 (2024) - [i34]Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun:
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis. CoRR abs/2410.19225 (2024) - [i33]Chengyue Wang, Xiaofan Zhang, Jason Cong, James C. Hoe:
Addressing Architectural Obstacles for Overlay with Stream Network Abstraction. CoRR abs/2411.17966 (2024) - 2023
- [j132]Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong:
Democratizing Domain-Specific Computing. Commun. ACM 66(1): 74-85 (2023) - [j131]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): 561-574 (2023) - [j130]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): 169-179 (2023) - [j129]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): 2423-2427 (2023) - [j128]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): 404-419 (2023) - [j127]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): 18:1-18:22 (2023) - [j126]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): 23:1-23:32 (2023) - [j125]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): 59:1-59:30 (2023) - [j124]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): 63:1-63:31 (2023) - [c412]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: 47-48 - [c411]Suhail Basalama, Jie Wang, Jason Cong:
A Comprehensive Automated Exploration Framework for Systolic Array Designs. DAC 2023: 1-6 - [c410]Jason Cong:
Lightning Talk: Scaling Up Quantum Compilation - Challenges and Opportunities. DAC 2023: 1-2 - [c409]Wan-Hsuan Lin, Jason Kimko, Bochen Tan, Nikolaj S. Bjørner, Jason Cong:
Scalable Optimal Layout Synthesis for NISQ Quantum Processors. DAC 2023: 1-6 - [c408]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: 1-6 - [c407]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: 12-22 - [c406]Michael Lo, Young-kyu Choi, Weikang Qiao, Mau-Chung Frank Chang, Jason Cong:
HMLib: Efficient Data Transfer for HLS Using Host Memory. FPGA 2023: 50 - [c405]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 - [c404]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: 247-258 - [c403]Neha Prakriya, Yu Yang, Baharan Mirzasoleiman, Cho-Jui Hsieh, Jason Cong:
NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training. HotStorage 2023: 8-15 - [c402]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Robust GNN-Based Representation Learning for HLS. ICCAD 2023: 1-9 - [c401]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 - [i32]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) - [i31]Jason Cong, Michalis Romesis, Joseph R. Shinnerl, Kenton Sze, Min Xie:
Locality and Utilization in Placement Suboptimality. CoRR abs/2305.16413 (2023) - [i30]Daniel Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong:
Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors. CoRR abs/2306.03487 (2023) - [i29]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 abs/2306.14052 (2023) - [i28]Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong:
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. CoRR abs/2311.10189 (2023) - [i27]Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han:
FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR abs/2311.15123 (2023) - [i26]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 abs/2311.16190 (2023) - 2022
- [j123]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): 624-637 (2022) - [j122]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): 32:1-32:27 (2022) - [j121]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): 44:1-44:19 (2022) - [j120]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): 51:1-51:42 (2022) - [c400]Yuanhao Wu, Faruk V. Mutlu, Yuezhou Liu, Edmund Yeh, Ran Liu, Catalin Iordache, Justas Balcas, Harvey B. 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: 103-113 - [c399]Atefeh Sohrabizadeh, Yuze Chi, Jason Cong:
StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing. CICC 2022: 1-8 - [c398]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Automated accelerator optimization aided by graph neural networks. DAC 2022: 55-60 - [c397]Linghao Song, Yuze Chi, Licheng Guo, Jason Cong:
Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication. DAC 2022: 211-216 - [c396]Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong:
Improving GNN-based accelerator design automation with meta learning. DAC 2022: 1347-1350 - [c395]Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Jason Cong:
A Versatile Systolic Array for Transposed and Dilated Convolution on FPGA. FCCM 2022: 1-2 - [c394]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: 1 - [c393]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: 1-12 - [c392]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Automated Accelerator Optimization Aided by Graph Neural Networks. FPGA 2022: 50 - [c391]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: 65-77 - [c390]Atefeh Sohrabizadeh, Yuze Chi, Jason Cong:
SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation. FPGA 2022: 156 - [c389]Yuze Chi, Licheng Guo, Jason Cong:
Accelerating SSSP for Power-Law Graphs. FPGA 2022: 190-200 - [c388]Linghao Song, Yuze Chi, Jason Cong:
PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators. ICASSP 2022: 76-80 - [c387]Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong:
Qubit Mapping for Reconfigurable Atom Arrays. ICCAD 2022: 107:1-107:9 - [c386]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: 1872-1876 - [c385]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: 35-56 - [i25]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 abs/2205.07991 (2022) - [i24]Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu, Jason Kimko, Jason Cong:
Domain-Specific Quantum Architecture Optimization. CoRR abs/2207.14482 (2022) - [i23]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 abs/2209.02663 (2022) - [i22]Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong:
Democratizing Domain-Specific Computing. CoRR abs/2209.02951 (2022) - [i21]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 abs/2209.14350 (2022) - 2021
- [j119]Bochen Tan, Jason Cong:
Optimality Study of Existing Quantum Computing Layout Synthesis Tools. IEEE Trans. Computers 70(9): 1363-1373 (2021) - [c384]Zhe Chen, Garrett J. Blair, Hugh T. Blair, Jason Cong:
Fast Calcium Trace Extraction for Large-Field-of-View Miniscope. BioCAS 2021: 1-5 - [c383]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: 1 - [c382]Weikang Qiao, Jihun Oh, Licheng Guo, Mau-Chung Frank Chang, Jason Cong:
FANS: FPGA-Accelerated Near-Storage Sorting. FCCM 2021: 106-114 - [c381]Yuze Chi, Licheng Guo, Jason Lau, Young-kyu Choi, Jie Wang, Jason Cong:
Extending High-Level Synthesis for Task-Parallel Programs. FCCM 2021: 204-213 - [c380]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 - [c379]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: 81-92 - [c378]Jie Wang, Licheng Guo, Jason Cong:
AutoSA: A Polyhedral Compiler for High-Performance Systolic Arrays on FPGA. FPGA 2021: 93-104 - [c377]Young-kyu Choi, Yuze Chi, Weikang Qiao, Nikola Samardzic, Jason Cong:
HBM Connect: High-Performance HLS Interconnect for FPGA HBM. FPGA 2021: 116-126 - [c376]Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong:
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. FPGA 2021: 147 - [c375]Yuze Chi, Licheng Guo, Young-kyu Choi, Jie Wang, Jason Cong:
Extending High-Level Synthesis for Task-Parallel Programs. FPGA 2021: 225 - [c374]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: 273-279 - [c373]Bochen Tan, Jason Cong:
Optimal Qubit Mapping with Simultaneous Gate Absorption ICCAD Special Session Paper. ICCAD 2021: 1-8 - [c372]Jason Cong:
From Parallelization to Customization - Challenges and Opportunities. IPDPS 2021: 682 - [c371]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: 720-733 - [i20]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 abs/2105.01892 (2021) - [i19]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) - [i18]Bochen Tan, Jason Cong:
Optimal Qubit Mapping with Simultaneous Gate Absorption. CoRR abs/2109.06445 (2021) - [i17]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 abs/2109.11081 (2021) - [i16]Linghao Song, Yuze Chi, Jason Cong:
Pyxis: An Open-Source Performance Dataset of Sparse Accelerators. CoRR abs/2110.04280 (2021) - [i15]Atefeh Sohrabizadeh, Yuze Chi, Jason Cong:
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation. CoRR abs/2111.05936 (2021) - [i14]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks. CoRR abs/2111.08848 (2021) - [i13]Linghao Song, Yuze Chi, Licheng Guo, Jason Cong:
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication. CoRR abs/2111.12555 (2021) - [i12]