Guohao Dai
Tytuł
Cytowane przez
Cytowane przez
Rok
FPGP: Graph Processing Framework on FPGA A Case Study of Breadth-First Search
G Dai, Y Chi, Y Wang, H Yang
International Symposium on Field-Programmable Gate Arrays (FPGA), 105-110, 2016
1012016
ForeGraph: Exploring large-scale graph processing on multi-FPGA architecture
G Dai, T Huang, Y Chi, N Xu, Y Wang, H Yang
International Symposium on Field-Programmable Gate Arrays (FPGA), 217-226, 2017
99*2017
GraphH: A Processing-in-Memory Architecture for Large-scale Graph Processing
G Dai, T Huang, Y Chi, J Zhao, G Sun, Y Liu, Y Wang, Y Xie, H Yang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
912019
NXgraph: An Efficient Graph Processing System on a Single Machine
Y Chi, G Dai, Y Wang, G Sun, G Li, H Yang
International Conference on Data Engineering (ICDE), 409-420, 2016
732016
A Configurable Multi-precision CNN Computing Framework based on Single Bit RRAM
Z Zhu, H Sun, Y Lin, G Dai, L Xia, S Han, Y Wang, H Yang
ACM/IEEE Design Automation Conference (DAC), 1-6, 2019
432019
GraphSAR: A Sparsity-aware Processing-in-memory Architecture for Large-scale Graph Processing on ReRAMs
G Dai, T Huang, Y Wang, H Yang, J Wawrzynek
Asia and South Pacific Design Automation Conference (ASP-DAC), 120-126, 2019
232019
HyVE: Hybrid Vertex-Edge Memory Hierarchy for Energy-Efficient Graph Processing
T Huang, G Dai, Y Wang, H Yang
Design, Automation & Test in Europe Conference & Exhibition (DATE), 973-978, 2018
172018
Online Scheduling for FPGA Computation in the Cloud
G Dai, Y Shan, F Chen, Y Wang, K Wang, H Yang
International Conference on Field-Programmable Technology (FPT), 330-333, 2014
162014
GE-SpMM: General-purposed Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
G Huang, G Dai, Y Wang, Y Huazhong
International Conference for High Performance Computing, Networking, Storage …, 2020
122020
GraphIA: An In-situ Accelerator for Large-scale Graph Processing
G Li, G Dai, S Li, Y Wang, Y Xie
International Symposium on Memory Systems (MEMSYS), 79-84, 2018
122018
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems
Z Zhu, H Sun, K Qiu, L Xia, G Krishnan, G Dai, D Niu, X Chen, XS Hu, ...
Great Lakes Symposium on VLSI (GLSVLSI), 83-88, 2020
112020
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud
S Zeng, G Dai, H Sun, K Zhong, G Ge, K Guo, Y Wang, H Yang
International Symposium on Field-Programmable Custom Computing Machines …, 2020
9*2020
Centrifuge: Evaluating Full-system HLS-generated Heterogeneous-accelerator SoCs using FPGA-Acceleration
Q Huang, C Yarp, S Karandikar, N Pemberton, B Brock, L Ma, G Dai, ...
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019
92019
CogDL: An extensive toolkit for deep learning on graphs
Y Cen, Z Hou, Y Wang, Q Chen, Y Luo, X Yao, A Zeng, S Guo, P Zhang, ...
arXiv preprint arXiv:2103.00959, 2021
82021
A Self-aware Data Compression System on FPGA in Hadoop
Y Li, Y Sun, G Dai, Y Wang, J Ni, Y Wang, G Li, H Yang
International Conference on Field Programmable Technology (FPT), 196-199, 2015
82015
HyVE: Hybrid Vertex-Edge Memory Hierarchy for Energy-Efficient Graph Processing
G Dai, T Huang, Y Wang, H Yang, J Wawrzynek
IEEE Transactions on Computers (ToC) 68 (8), 1131-1146, 2019
72019
Memory-Bound Proof-of-Work Acceleration for Blockchain Applications
K Wu, G Dai, X Hu, S Li, X Xie, Y Wang, Y Xie
ACM/IEEE Design Automation Conference (DAC), 1-6, 2019
62019
DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform
S Huang, G Dai, Y Sun, Z Wang, Y Wang, H Yang
International Conference on High Performance Computing and Communications …, 2013
52013
Approximate Frequent Itemset Mining for streaming data on FPGA
Y Li, Y Sun, G Dai, Q Xu, Y Wang, H Yang
International Conference on Field Programmable Logic and Applications (FPL), 1-4, 2016
42016
An Order Sampling Processing-in-Memory Architecture for Approximate Graph Pattern Mining
Z Wan, G Dai, YJ Soh, J Zhao, Y Wang
Great Lakes Symposium on VLSI (GLSVLSI), 357-362, 2020
12020
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