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ORCIDJason Cong
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- affiliation: University of California, Los Angeles, USA
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2020 – today
- 2023
[j123]Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong:
Democratizing Domain-Specific Computing. Commun. ACM 66(1): 74-85 (2023)- [c403]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 - [c402]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 - [c401]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 - [i26]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) - 2022
- [j122]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) - [j121]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) - [j120]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) - [j119]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 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 - [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
- [j118]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]Jie Wang, Jason Cong:
Search for Optimal Systolic Arrays: A Comprehensive Automated Exploration Framework and Lessons Learned. CoRR abs/2111.14252 (2021) - 2020
- [j117]Giovanni De Micheli, Antun Domic, Massimiliano Di Ventra, Martin Roettler, Jason Cong:
2019 DAC Roundtable. IEEE Des. Test 37(3): 100-114 (2020) - [j116]Yijin Guan, Guangyu Sun, Zhihang Yuan, Xingchen Li, Ningyi Xu, Shu Chen, Jason Cong, Yuan Xie:
Crane: Mitigating Accelerator Under-utilization Caused by Sparsity Irregularities in CNNs. IEEE Trans. Computers 69(7): 931-943 (2020) - [j115]Young-kyu Choi, Yuze Chi, Jie Wang, Jason Cong:
FLASH: Fast, Parallel, and Accurate Simulator for HLS. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4828-4841 (2020) - [j114]Meng Li, William Hsu, Xiaodong Xie, Jason Cong, Wen Gao:
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network. IEEE Trans. Medical Imaging 39(7): 2289-2301 (2020) - [c370]Yuze Chi, Jason Cong:
Exploiting Computation Reuse for Stencil Accelerators. DAC 2020: 1-6 - [c369]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: 1-6 - [c368]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 - [c367]Michael Lo, Zhenman Fang, Jie Wang, Peipei Zhou, Mau-Chung Frank Chang, Jason Cong:
Algorithm-Hardware Co-design for BQSR Acceleration in Genome Analysis ToolKit. FCCM 2020: 157-166 - [c366]Jiajie Li, Yuze Chi, Jason Cong:
HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration. FPGA 2020: 51-57 - [c365]Atefeh Sohrabizadeh, Jie Wang, Jason Cong:
End-to-End Optimization of Deep Learning Applications. FPGA 2020: 133-139 - [c364]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. FPGA 2020: 311 - [c363]Zhe Chen, Garrett J. Blair, Hugh T. Blair, Jason Cong:
CANSEE: Customized Accelerator for Neural Signal Enhancement and Extraction from the Calcium Image in Real Time. FPGA 2020: 318 - [c362]Yi-Hsiang Lai, Hongbo Rong, Size Zheng, Weihao Zhang, Xiuping Cui, Yunshan Jia, Jie Wang, Brendan Sullivan, Zhiru Zhang, Yun Liang, Youhui Zhang, Jason Cong, Nithin George, Jose Alvarez, Christopher J. Hughes, Pradeep Dubey:
SuSy: A Programming Model for Productive Construction of High-Performance Systolic Arrays on FPGAs. ICCAD 2020: 73:1-73:9 - [c361]Bochen Tan, Jason Cong:
Optimal Layout Synthesis for Quantum Computing. ICCAD 2020: 137:1-137:9 - [c360]Jason Lau, Aishwarya Sivaraman, Qian Zhang, Muhammad Ali Gulzar, Jason Cong, Miryung Kim:
HeteroRefactor: refactoring for heterogeneous computing with FPGA. ICSE 2020: 493-505 - [c359]Nikola Samardzic, Weikang Qiao, Vaibhav Aggarwal, Mau-Chung Frank Chang, Jason Cong:
Bonsai: High-Performance Adaptive Merge Tree Sorting. ISCA 2020: 282-294 - [c358]Zhe Chen, Garrett J. Blair, Hugh T. Blair, Jason Cong:
BLINK: bit-sparse LSTM inference kernel enabling efficient calcium trace extraction for neurofeedback devices. ISLPED 2020: 217-222 - [i11]Bochen Tan, Jason Cong:
Optimality Study of Existing Quantum Computing Layout Synthesis Tools. CoRR abs/2002.09783 (2020) - [i10]Bochen Tan, Jason Cong:
Optimal Layout Synthesis for Quantum Computing. CoRR abs/2007.15671 (2020) - [i9]Yuze Chi, Licheng Guo, Young-kyu Choi, Jie Wang, Jason Cong:
Extending High-Level Synthesis for Task-Parallel Programs. CoRR abs/2009.11389 (2020) - [i8]Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong:
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. CoRR abs/2009.14381 (2020) - [i7]Young-kyu Choi, Yuze Chi, Jie Wang, Licheng Guo, Jason Cong:
When HLS Meets FPGA HBM: Benchmarking and Bandwidth Optimization. CoRR abs/2010.06075 (2020)
2010 – 2019
- 2019
- [j113]Yanghyo Kim, Boyu Hu, Yuan Du, Wei-Han Cho, Rulin Huang, Adrian Tang, Huan-Neng Ron Chen, Chewnpu Jou, Jason Cong, Tatsuo Itoh, Mau-Chung Frank Chang:
A Millimeter-Wave CMOS Transceiver With Digitally Pre-Distorted PAM-4 Modulation for Contactless Communications. IEEE J. Solid State Circuits 54(6): 1600-1612 (2019) - [j112]Jason Cong, Zhenman Fang, Muhuan Huang, Peng Wei, Di Wu, Cody Hao Yu:
Customizable Computing - From Single Chip to Datacenters. Proc. IEEE 107(1): 185-203 (2019) - [j111]Shuo Li, Nong Xiao, Peng Wang, Guangyu Sun, Xiaoyang Wang, Yiran Chen, Hai Helen Li, Jason Cong, Tao Zhang:
RC-NVM: Dual-Addressing Non-Volatile Memory Architecture Supporting Both Row and Column Memory Accesses. IEEE Trans. Computers 68(2): 239-254 (2019) - [j110]Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong:
Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(11): 2072-2085 (2019) - [j109]Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, Peng Wei:
In-Depth Analysis on Microarchitectures of Modern Heterogeneous CPU-FPGA Platforms. ACM Trans. Reconfigurable Technol. Syst. 12(1): 4:1-4:20 (2019) - [c357]Zhenman Fang, Farnoosh Javadi, Jason Cong, Glenn Reinman:
Understanding Performance Gains of Accelerator-Rich Architectures. ASAP 2019: 239-246 - [c356]Xuechao Wei, Yun Liang, Jason Cong:
Overcoming Data Transfer Bottlenecks in FPGA-based DNN Accelerators via Layer Conscious Memory Management. DAC 2019: 125 - [c355]Weikang Qiao, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong:
An FPGA-Based BWT Accelerator for Bzip2 Data Compression. FCCM 2019: 96-99 - [c354]Licheng Guo, Jason Lau, Zhenyuan Ruan, Peng Wei, Jason Cong:
Hardware Acceleration of Long Read Pairwise Overlapping in Genome Sequencing: A Race Between FPGA and GPU. FCCM 2019: 127-135 - [c353]Zhe Chen, Hugh T. Blair, Jason Cong:
LANMC: LSTM-Assisted Non-Rigid Motion Correction on FPGA for Calcium Image Stabilization. FPGA 2019: 104-109 - [c352]Xuechao Wei, Yun Liang, Peng Zhang, Cody Hao Yu, Jason Cong:
Overcoming Data Transfer Bottlenecks in DNN Accelerators via Layer-Conscious Memory Managment. FPGA 2019: 120 - [c351]Yuze Chi, Young-kyu Choi, Jason Cong, Jie Wang:
Rapid Cycle-Accurate Simulator for High-Level Synthesis. FPGA 2019: 178-183 - [c350]Jie Liu, Jason Cong:
Dataflow Systolic Array Implementations of Matrix Decomposition Using High Level Synthesis. FPGA 2019: 187 - [c349]Yi-Hsiang Lai, Yuze Chi, Yuwei Hu, Jie Wang, Cody Hao Yu, Yuan Zhou, Jason Cong, Zhiru Zhang:
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing. FPGA 2019: 242-251 - [c348]Zhenyuan Ruan, Tong He, Jason Cong:
Analyzing and Modeling In-Storage Computing Workloads On EISC - An FPGA-Based System-Level Emulation Platform. ICCAD 2019: 1-8 - [c347]Jiaxi Zhang, Wentai Zhang, Guojie Luo, Xuechao Wei, Yun Liang, Jason Cong:
Frequency Improvement of Systolic Array-Based CNNs on FPGAs. ISCAS 2019: 1-4 - [c346]Zhenyuan Ruan, Tong He, Jason Cong:
INSIDER: Designing In-Storage Computing System for Emerging High-Performance Drive. USENIX Annual Technical Conference 2019: 379-394 - 2018
- [b2]Ruipeng Gao, Fan Ye, Guojie Luo, Jason Cong:
Smartphone-Based Indoor Map Construction - Principles and Applications. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-10-8377-8, pp. 1-109 - [j108]Jason Cong, Zhenman Fang, Muhuan Huang, Libo Wang, Di Wu:
CPU-FPGA Coscheduling for Big Data Applications. IEEE Des. Test 35(1): 16-22 (2018) - [c345]Cody Hao Yu, Peng Wei, Max Grossman, Peng Zhang, Vivek Sarkar, Jason Cong:
S2FA: an accelerator automation framework for heterogeneous computing in datacenters. DAC 2018: 153:1-153:6 - [c344]Jason Cong, Peng Wei, Cody Hao Yu, Peng Zhang:
Automated accelerator generation and optimization with composable, parallel and pipeline architecture. DAC 2018: 154:1-154:6 - [c343]Zhenyuan Ruan, Tong He, Bojie Li, Peipei Zhou, Jason Cong:
ST-Accel: A High-Level Programming Platform for Streaming Applications on FPGA. FCCM 2018: 9-16 - [c342]Weikang Qiao, Jieqiong Du, Zhenman Fang, Michael Lo, Mau-Chung Frank Chang, Jason Cong:
High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms. FCCM 2018: 37-44 - [c341]Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang:
Understanding Performance Differences of FPGAs and GPUs. FCCM 2018: 93-96 - [c340]Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou:
Latte: Locality Aware Transformation for High-Level Synthesis. FCCM 2018: 125-128 - [c339]Jason Cong, Licheng Guo, Po-Tsang Huang, Peng Wei, Tianhe Yu:
SMEM++: A Pipelined and Time-Multiplexed SMEM Seeding Accelerator for DNA Sequencing. FCCM 2018: 206 - [c338]Jason Cong, Jie Wang:
Automatic Interior I/O Elimination in Systolic Array Architecture. FCCM 2018: 228 - [c337]Yuze Chi, Peipei Zhou, Jason Cong:
An Optimal Microarchitecture for Stencil Computation with Data Reuse and Fine-Grained Parallelism: (Abstract Only). FPGA 2018: 286 - [c336]Jason Cong, Zhenman Fang, Yao Hu, Di Wu:
K-Flow: A Programming and Scheduling Framework to Optimize Dataflow Execution on CPU-FPGA Platforms: (Abstract Only). FPGA 2018: 287 - [c335]Zhe Chen, Andrew Howe, Hugh T. Blair, Jason Cong:
FPGA-based LSTM Acceleration for Real-Time EEG Signal Processing: (Abstract Only). FPGA 2018: 288 - [c334]Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang:
Understanding Performance Differences of FPGAs and GPUs: (Abtract Only). FPGA 2018: 288 - [c333]Weikang Qiao, Jieqiong Du, Zhenman Fang, Libo Wang, Michael Lo, Mau-Chung Frank Chang, Jason Cong:
High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms: (Abstract Only). FPGA 2018: 291 - [c332]Jason Cong, Licheng Guo, Po-Tsang Huang, Peng Wei, Tianhe Yu:
SMEM++: A Pipelined and Time-Multiplexed SMEM Seeding Accelerator for Genome Sequencing. FPL 2018: 210-214 - [c331]Jason Cong, Peng Wei, Cody Hao Yu:
From JVM to FPGA: Bridging Abstraction Hierarchy via Optimized Deep Pipelining. HotCloud 2018 - [c330]Peng Wang, Shuo Li, Guangyu Sun, Xiaoyang Wang, Yiran Chen, Hai Li, Jason Cong, Nong Xiao, Tao Zhang:
RC-NVM: Enabling Symmetric Row and Column Memory Accesses for In-memory Databases. HPCA 2018: 518-530 - [c329]