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Qijing Huang 0001
Person information
- affiliation: University of California, Berkeley, CA, USA
- affiliation (former): University of Toronto, ON, Canada
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2020 – today
- 2024
- [c20]Qijing Huang, Po-An Tsai, Joel S. Emer, Angshuman Parashar:
Mind the Gap: Attainable Data Movement and Operational Intensity Bounds for Tensor Algorithms. ISCA 2024: 150-166 - 2023
- [c19]Charles Hong
, Qijing Huang
, Grace Dinh
, Mahesh Subedar
, Yakun Sophia Shao
:
DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. MICRO 2023: 209-224 - [i11]Sehoon Kim, Coleman Hooper, Thanakul Wattanawong, Minwoo Kang, Ruohan Yan, Hasan Genc, Grace Dinh, Qijing Huang, Kurt Keutzer, Michael W. Mahoney, Yakun Sophia Shao, Amir Gholami:
Full Stack Optimization of Transformer Inference: a Survey. CoRR abs/2302.14017 (2023) - 2022
- [c18]Qijing Huang
, Charles Hong, John Wawrzynek, Mahesh Subedar, Yakun Sophia Shao:
Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design. ISPASS 2022: 277-287 - 2021
- [c17]Zhen Dong, Yizhao Gao
, Qijing Huang
, John Wawrzynek, Hayden K. H. So
, Kurt Keutzer:
HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference. FCCM 2021: 50-59 - [c16]Qijing Huang
, Dequan Wang, Zhen Dong, Yizhao Gao
, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek:
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA 2021: 206-216 - [c15]Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQ-V3: Dyadic Neural Network Quantization. ICML 2021: 11875-11886 - [c14]Qijing Huang
, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao:
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. ISCA 2021: 554-566 - [i10]Zhen Dong, Yizhao Gao, Qijing Huang, John Wawrzynek, Hayden K. H. So, Kurt Keutzer:
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference. CoRR abs/2104.12766 (2021) - [i9]Qijing Huang, Minwoo Kang, Grace Dinh, Thomas Norell, Aravind Kalaiah, James Demmel, John Wawrzynek, Yakun Sophia Shao:
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. CoRR abs/2105.01898 (2021) - 2020
- [c13]Keertana Settaluri, Ameer Haj-Ali, Qijing Huang
, Kourosh Hakhamaneshi, Borivoje Nikolic
:
AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs. DATE 2020: 490-495 - [c12]Ameer Haj-Ali, Qijing (Jenny) Huang, William S. Moses, John Xiang, Krste Asanovic, John Wawrzynek, Ion Stoica:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. MLSys 2020 - [c11]Farzad Farshchi, Qijing Huang
, Heechul Yun:
BRU: Bandwidth Regulation Unit for Real-Time Multicore Processors. RTAS 2020: 364-375 - [i8]Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek:
Algorithm-hardware Co-design for Deformable Convolution. CoRR abs/2002.08357 (2020) - [i7]Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. CoRR abs/2003.00671 (2020) - [i6]Ameer Haj-Ali, Hasan Genc, Qijing Huang, William S. Moses, John Wawrzynek, Krste Asanovic, Ion Stoica:
ProTuner: Tuning Programs with Monte Carlo Tree Search. CoRR abs/2005.13685 (2020) - [i5]Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek:
CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. CoRR abs/2006.08357 (2020) - [i4]Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQV3: Dyadic Neural Network Quantization. CoRR abs/2011.10680 (2020)
2010 – 2019
- 2019
- [j2]Sagar Karandikar, Howard Mao, Donggyu Kim, David Biancolin, Alon Amid
, Dayeol Lee, Nathan Pemberton, Emmanuel Amaro, Colin Schmidt, Aditya Chopra, Qijing Huang, Kyle Kovacs, Borivoje Nikolic
, Randy Howard Katz, Jonathan Bachrach, Krste Asanovic:
FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud. IEEE Micro 39(3): 56-65 (2019) - [c10]Farzad Farshchi, Qijing Huang
, Heechul Yun:
Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim. EMC2@HPCA/CVPR/ISCA 2019: 21-25 - [c9]Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning. FCCM 2019: 308 - [c8]Yifan Yang, Qijing Huang
, Bichen Wu, Tianjun Zhang, Liang Ma
, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer:
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. FPGA 2019: 23-32 - [c7]Lisa Wu
, David Bruns-Smith, Frank A. Nothaft, Qijing Huang
, Sagar Karandikar, Johnny Le, Andrew Lin, Howard Mao, Brendan Sweeney, Krste Asanovic, David A. Patterson, Anthony D. Joseph:
FPGA Accelerated INDEL Realignment in the Cloud. HPCA 2019: 277-290 - [c6]Qijing Huang
, Christopher Yarp
, Sagar Karandikar, Nathan Pemberton, Benjamin Brock, Liang Ma
, Guohao Dai, Robert Quitt, Krste Asanovic, John Wawrzynek:
Centrifuge: Evaluating full-system HLS-generated heterogenous-accelerator SoCs using FPGA-Acceleration. ICCAD 2019: 1-8 - [c5]Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai
, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek:
Algorithm-hardware Co-design for Deformable Convolution. EMC2@NeurIPS 2019: 48-51 - [i3]Ameer Haj Ali, Qijing Huang, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning. CoRR abs/1901.04615 (2019) - [i2]Farzad Farshchi, Qijing Huang, Heechul Yun:
Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim. CoRR abs/1903.06495 (2019) - 2018
- [c4]Sagar Karandikar, Howard Mao, Donggyu Kim, David Biancolin, Alon Amid
, Dayeol Lee, Nathan Pemberton, Emmanuel Amaro, Colin Schmidt, Aditya Chopra, Qijing Huang
, Kyle Kovacs, Borivoje Nikolic
, Randy H. Katz, Jonathan Bachrach, Krste Asanovic:
FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud. ISCA 2018: 29-42 - [i1]Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer:
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. CoRR abs/1811.08634 (2018) - 2017
- [c3]Shaoyi Cheng, Qijing Huang, John Wawrzynek:
Synthesis of program binaries into FPGA accelerators with runtime dependence validation. FPT 2017: 96-103 - 2015
- [j1]Qijing Huang
, Ruolong Lian, Andrew Canis, Jongsok Choi, Ryan Xi, Nazanin Calagar, Stephen Dean Brown, Jason Helge Anderson:
The Effect of Compiler Optimizations on High-Level Synthesis-Generated Hardware. ACM Trans. Reconfigurable Technol. Syst. 8(3): 14:1-14:26 (2015) - 2013
- [c2]Andrew Canis, Jongsok Choi, Blair Fort, Ruolong Lian, Qijing Huang
, Nazanin Calagar, Marcel Gort, Jia Jun Qin, Mark Aldham, Tomasz S. Czajkowski, Stephen Dean Brown, Jason Helge Anderson:
From software to accelerators with LegUp high-level synthesis. CASES 2013: 18:1-18:9 - [c1]Qijing Huang
, Ruolong Lian, Andrew Canis, Jongsok Choi, Ryan Xi, Stephen Dean Brown, Jason Helge Anderson:
The Effect of Compiler Optimizations on High-Level Synthesis for FPGAs. FCCM 2013: 89-96
Coauthor Index
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last updated on 2024-09-07 02:00 CEST by the dblp team
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