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Guohao Dai
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2020 – today
- 2023
- [j8]Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang:
Sgap: towards efficient sparse tensor algebra compilation for GPU. CCF Trans. High Perform. Comput. 5(2): 210-227 (2023) - [j7]Shulin Zeng
, Guohao Dai
, Niansong Zhang, Xinhao Yang, Haoyu Zhang, Zhenhua Zhu, Huazhong Yang, Yu Wang
:
Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective. IEEE Trans. Computers 72(5): 1314-1328 (2023) - [j6]Jingbo Hu, Guohao Dai, Liuzheng Wang, Liyang Lai, Yu Huang, Huazhong Yang, Yu Wang:
Adaptive Multidimensional Parallel Fault Simulation Framework on Heterogeneous System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 1951-1964 (2023) - [c44]Shuo Yin, Guohao Dai, Wei W. Xing:
High-Dimensional Yield Estimation Using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. ASP-DAC 2023: 283-289 - [c43]Wentao Hou, Kai Zhong, Shulin Zeng, Guohao Dai, Huazhong Yang, Yu Wang:
NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring. ASP-DAC 2023: 645-650 - [c42]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops 2023: 202-209 - [c41]Shiyao Li, Zhenhua Zhu, Yu Zhu, Qingpeng Zhu, Jiangwei Zhang, Wenxiu Sun, Guohao Dai, Fei Qiao, Huazhong Yang, Yu Wang:
Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation. DAC 2023: 1-6 - [c40]Yanfang Liu, Guohao Dai, Wei W. Xing:
Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. DAC 2023: 1-6 - [c39]Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang:
An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. DAC 2023: 1-6 - [c38]Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang:
Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. DAC 2023: 1-6 - [c37]Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang:
PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC 2023: 1-6 - [c36]Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang:
CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE 2023: 1-6 - [c35]Hanbo Sun, Tongxin Xie, Zhenhua Zhu, Guohao Dai, Huazhong Yang, Yu Wang:
Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. DATE 2023: 1-6 - [c34]Yukuo Cen
, Zhenyu Hou
, Yan Wang
, Qibin Chen
, Yizhen Luo
, Zhongming Yu
, Hengrui Zhang
, Xingcheng Yao
, Aohan Zeng
, Shiguang Guo
, Yuxiao Dong
, Yang Yang
, Peng Zhang
, Guohao Dai
, Yu Wang
, Chang Zhou
, Hongxia Yang
, Jie Tang
:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i13]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR abs/2305.19982 (2023) - [i12]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR abs/2307.08209 (2023) - [i11]Yanfang Liu, Guohao Dai, Wei W. Xing:
Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. CoRR abs/2307.15773 (2023) - 2022
- [j5]Jincheng Yu
, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu
, Zhaoyang Shen, Yuanfan Xu, Guohao Dai
, Yu Wang
, Huazhong Yang:
INCAME: Interruptible CNN Accelerator for Multirobot Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 964-978 (2022) - [j4]Kai Zhong
, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng
, Yu Wang
, Huazhong Yang:
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5421-5434 (2022) - [j3]Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang:
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Trans. Reconfigurable Technol. Syst. 15(3): 24:1-24:31 (2022) - [c33]Bangyan Wang
, Lei Deng, Fei Sun, Guohao Dai, Liu Liu
, Yu Wang, Yuan Xie:
A one-for-all and o(v log(v ))-cost solution for parallel merge style operations on sorted key-value arrays. ASPLOS 2022: 669-682 - [c32]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC 2022: 595-600 - [c31]Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang:
Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. DATE 2022: 652-657 - [c30]Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. DATE 2022: 867-872 - [c29]Guohao Dai, Zhenhua Zhu, Tianyu Fu
, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang:
DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA 2022: 130-145 - [c28]Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang:
Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. MDM 2022: 179-184 - [c27]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys 2022 - [i10]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR abs/2202.08556 (2022) - [i9]Yiming Chen, Guohao Dai, Mufeng Zhou, Mingyen Lee, Nagadastagiri Challapalle, Guodong Yin, Zekun Yang, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li:
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. CoRR abs/2208.08600 (2022) - [i8]Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang:
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU. CoRR abs/2209.02882 (2022) - [i7]Shuo Yin, Guohao Dai, Wei W. Xing:
High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. CoRR abs/2212.02100 (2022) - 2021
- [c26]Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng
, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang:
3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. FPGA 2021: 228 - [c25]Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen:
Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. ICCAD 2021: 1-9 - [c24]Zhongming Yu, Guohao Dai, Guyue Huang, Yu Wang, Huazhong Yang:
Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs. ICCD 2021: 567-574 - [i6]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021) - [i5]Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie:
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. CoRR abs/2106.16064 (2021) - [i4]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR abs/2110.09524 (2021) - 2020
- [c23]Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Chaoyang Shen, Yuanfan Xu, Guohao Dai, Yu Wang, Huazhong Yang:
INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. DAC 2020: 1-6 - [c22]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FCCM 2020: 102-110 - [c21]Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Chaoyang Shen, Yuanfan Xu, Guohao Dai, Yu Wang, Huazhong Yang:
INCAME: INterruptible CNN Accelerator for Multi-robot Exploration. FPGA 2020: 316 - [c20]Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FPGA 2020: 317 - [c19]Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu
, Yu Cao
, Yuan Xie, Yu Wang, Huazhong Yang:
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI 2020: 83-88 - [c18]Ziqian Wan, Guohao Dai, Yun Joon Soh, Jishen Zhao, Yu Wang:
An Order Sampling Processing-in-Memory Architecture for Approximate Graph Pattern Mining. ACM Great Lakes Symposium on VLSI 2020: 357-362 - [c17]Tianyu Fu
, Ziqian Wan, Guohao Dai, Yu Wang, Huazhong Yang:
LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. HPEC 2020: 1-7 - [c16]Jingbo Hu, Guohao Dai, Yu Wang, Huazhong Yang:
GraphSDH: A General Graph Sampling Framework with Distribution and Hierarchy. HPEC 2020: 1-7 - [c15]Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang:
GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks. SC 2020: 72 - [i3]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. CoRR abs/2003.12101 (2020) - [i2]Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang:
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks. CoRR abs/2007.03179 (2020)
2010 – 2019
- 2019
- [j2]Guohao Dai
, Tianhao Huang, Yu Wang
, Huazhong Yang
, John Wawrzynek:
HyVE: Hybrid Vertex-Edge Memory Hierarchy for Energy-Efficient Graph Processing. IEEE Trans. Computers 68(8): 1131-1146 (2019) - [j1]Guohao Dai
, Tianhao Huang, Yuze Chi, Jishen Zhao, Guangyu Sun, Yongpan Liu
, Yu Wang
, Yuan Xie
, Huazhong Yang:
GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 640-653 (2019) - [c14]Guohao Dai, Tianhao Huang, Yu Wang, Huazhong Yang, John Wawrzynek:
GraphSAR: a sparsity-aware processing-in-memory architecture for large-scale graph processing on ReRAMs. ASP-DAC 2019: 120-126 - [c13]Zhenhua Zhu, Hanbo Sun, Yujun Lin
, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang:
A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC 2019: 56 - [c12]Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie:
Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC 2019: 177 - [c11]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 - 2018
- [c10]Tianhao Huang, Guohao Dai, Yu Wang, Huazhong Yang:
HyVE: Hybrid vertex-edge memory hierarchy for energy-efficient graph processing. DATE 2018: 973-978 - [c9]Guohao Dai, Tianhao Huang, Yu Wang, Huazhong Yang, John Wawrzynek:
NewGraph: Balanced Large-Scale Graph Processing on FPGAs with Low Preprocessing Overheads. FCCM 2018: 208 - [c8]Gushu Li, Guohao Dai, Shuangchen Li, Yu Wang, Yuan Xie:
GraphIA: an in-situ accelerator for large-scale graph processing. MEMSYS 2018: 79-84 - 2017
- [c7]Guohao Dai, Tianhao Huang, Yuze Chi, Ningyi Xu, Yu Wang, Huazhong Yang:
ForeGraph: Exploring Large-scale Graph Processing on Multi-FPGA Architecture. FPGA 2017: 217-226 - 2016
- [c6]Guohao Dai, Yuze Chi, Yu Wang, Huazhong Yang:
FPGP: Graph Processing Framework on FPGA A Case Study of Breadth-First Search. FPGA 2016: 105-110 - [c5]Yubin Li, Yuliang Sun, Guohao Dai, Qiang Xu
, Yu Wang, Huazhong Yang:
Approximate Frequent Itemset Mining for streaming data on FPGA. FPL 2016: 1-4 - [c4]Yuze Chi, Guohao Dai, Yu Wang, Guangyu Sun, Guoliang Li, Huazhong Yang:
NXgraph: An efficient graph processing system on a single machine. ICDE 2016: 409-420 - 2015
- [c3]Yubin Li, Yuliang Sun, Guohao Dai, Yuzhi Wang, Jiacai Ni, Yu Wang, Guoliang Li, Huazhong Yang:
A self-aware data compression system on FPGA in Hadoop. FPT 2015: 196-199 - [i1]Yuze Chi, Guohao Dai, Yu Wang, Guangyu Sun, Guoliang Li, Huazhong Yang:
NXgraph: An Efficient Graph Processing System on a Single Machine. CoRR abs/1510.06916 (2015) - 2014
- [c2]Guohao Dai, Yi Shan, Fei Chen, Yu Wang
, Kun Wang, Huazhong Yang:
Online scheduling for FPGA computation in the Cloud. FPT 2014: 330-333 - 2013
- [c1]Sitao Huang, Guohao Dai, Yuliang Sun, Zilong Wang, Yu Wang
, Huazhong Yang:
DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform. HPCC/EUC 2013: 1054-1063
Coauthor Index

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last updated on 2023-09-28 02:26 CEST by the dblp team
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