Qijing Huang

According to our database, Qijing Huang authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mind the Gap: Attainable Data Movement and Operational Intensity Bounds for Tensor Algorithms.

Qijing Huang, Po-An Tsai, Joel S. Emer, Angshuman Parashar

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2023

Full Stack Optimization of Transformer Inference: a Survey.

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

CoRR, 2023

DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators.

Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2022

Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design.

Qijing Huang, Charles Hong, John Wawrzynek, Mahesh Subedar, Yakun Sophia Shao

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

2021

Co-design ofAlgorithms, Hardware, and Scheduling for Deep Learning Applications

Qijing Huang

PhD thesis, 2021

CoSA: Scheduling by Constrained Optimization for Spatial Accelerators.

Qijing Huang, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

HAWQ-V3: Dyadic Neural Network Quantization.

Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer

Proceedings of the 38th International Conference on Machine Learning, 2021

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs.

Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference.

Zhen Dong, Yizhao Gao, Qijing Huang, John Wawrzynek, Hayden K. H. So, Kurt Keutzer

Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020

HAWQV3: Dyadic Neural Network Quantization.

Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer

CoRR, 2020

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution.

Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek

CoRR, 2020

ProTuner: Tuning Programs with Monte Carlo Tree Search.

Ameer Haj-Ali, Hasan Genc, Qijing Huang, William S. Moses, John Wawrzynek, Krste Asanovic, Ion Stoica

CoRR, 2020

BRU: Bandwidth Regulation Unit for Real-Time Multicore Processors.

Farzad Farshchi, Qijing Huang, Heechul Yun

Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2020

AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.

Ameer Haj-Ali, Qijing (Jenny) Huang, William S. Moses, John Xiang, Krste Asanovic, John Wawrzynek, Ion Stoica

Proceedings of the Third Conference on Machine Learning and Systems, 2020

AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs.

Keertana Settaluri, Ameer Haj-Ali, Qijing Huang, Kourosh Hakhamaneshi, Borivoje Nikolic

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud.

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

IEEE Micro, 2019

AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning.

Ameer Haj Ali, Qijing Huang, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek

CoRR, 2019

Algorithm-hardware Co-design for Deformable Convolution.

Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Centrifuge: Evaluating full-system HLS-generated heterogenous-accelerator SoCs using FPGA-Acceleration.

Qijing Huang, Christopher Yarp, Sagar Karandikar, Nathan Pemberton, Benjamin Brock, Liang Ma, Guohao Dai, Robert Quitt, Krste Asanovic, John Wawrzynek

Proceedings of the International Conference on Computer-Aided Design, 2019

FPGA Accelerated INDEL Realignment in the Cloud.

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

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs.

Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning.

Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim.

Farzad Farshchi, Qijing Huang, Heechul Yun

Proceedings of the 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2019

2017

Synthesis of program binaries into FPGA accelerators with runtime dependence validation.

Shaoyi Cheng, Qijing Huang, John Wawrzynek

Proceedings of the International Conference on Field Programmable Technology, 2017

2015

The Effect of Compiler Optimizations on High-Level Synthesis-Generated Hardware.

Qijing Huang, Ruolong Lian, Andrew Canis, Jongsok Choi, Ryan Xi, Nazanin Calagar, Stephen Dean Brown, Jason Helge Anderson

ACM Trans. Reconfigurable Technol. Syst., 2015

2013

The Effect of Compiler Optimizations on High-Level Synthesis for FPGAs.

Qijing Huang, Ruolong Lian, Andrew Canis, Jongsok Choi, Ryan Xi, Stephen Dean Brown, Jason Helge Anderson

Proceedings of the 21st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2013

From software to accelerators with LegUp high-level synthesis.

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

Proceedings of the International Conference on Compilers, 2013