Guohao Dai（戴国浩）

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Suautori

Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaPotvrđena adresa e-pošte na mail.tsinghua.edu.cn
Huazhong YangProfessor of Electronics Engineering, Tsinghua UniversityPotvrđena adresa e-pošte na tsinghua.edu.cn
Zhenhua Zhu (朱振华)Tsinghua UniversityPotvrđena adresa e-pošte na mails.tsinghua.edu.cn
Xuefei NingTsinghua UniversityPotvrđena adresa e-pošte na mail.tsinghua.edu.cn
Hanbo SunTsinghua UniversityPotvrđena adresa e-pošte na mails.tsinghua.edu.cn
Shulin ZengPost Doc, Tsinghua UniversityPotvrđena adresa e-pošte na mail.tsinghua.edu.cn
Yuan XieChair Professor of Hong Kong University of Science and Technology (HKUST)Potvrđena adresa e-pošte na ust.hk
Ke HongTsinghua UniversityPotvrđena adresa e-pošte na mails.tsinghua.edu.cn
Tianyu FuPh.D at Tsinghua UniversityPotvrđena adresa e-pošte na mails.tsinghua.edu.cn
Tianhao HuangCSAIL, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Jiaming XuShanghai Jiao Tong UniversityPotvrđena adresa e-pošte na sjtu.edu.cn
Guyue HuangNVIDIAPotvrđena adresa e-pošte na nvidia.com
Yuze ChiGoogle, UCLAPotvrđena adresa e-pošte na google.com
Jun LiuShanghai Jiao Tong UniversityPotvrđena adresa e-pošte na sjtu.edu.cn
Xiuhong LiPeking UniversityPotvrđena adresa e-pošte na pku.edu.cn
Guangyu SunSchool of Integrated Circuits, Peking UniversityPotvrđena adresa e-pošte na pku.edu.cn
Zhongming YuUniversity of California, San DiegoPotvrđena adresa e-pošte na ucsd.edu
Jishen ZhaoProfessor at University of California, San DiegoPotvrđena adresa e-pošte na ucsd.edu
Song HanMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
John WAWRZYNEKProfessor of EECS, University of California, BerkeleyPotvrđena adresa e-pošte na berkeley.edu

Prati

Guohao Dai（戴国浩）

Associate Professor of Shanghai Jiao Tong University

Potvrđena adresa e-pošte na sjtu.edu.cn - Početna stranica

Sparse Computation Large-scale Graph Processing FPGA Circuits and Systems


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	194*	2019
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	183	2017
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	150	2016
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	141	2020
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	106	2019
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	105	2016
A survey on efficient inference for large language models Z Zhou, X Ning, K Hong, T Fu, J Xu, S Li, Y Lou, L Wang, Z Yuan, X Li, ... arXiv preprint arXiv:2404.14294, 2024	86	2024
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	84	2020
Flashdecoding++: Faster large language model inference with asynchronization, flat gemm optimization, and heuristics K Hong, G Dai, J Xu, Q Mao, X Li, J Liu, Y Dong, Y Wang Proceedings of Machine Learning and Systems 6, 148-161, 2024	64*	2024
Understanding gnn computational graph: A coordinated computation, io, and memory perspective H Zhang, Z Yu, G Dai, G Huang, Y Ding, Y Xie, Y Wang Proceedings of Machine Learning and Systems 4, 467-484, 2022	58	2022
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	57	2019
Evaluating quantized large language models S Li, X Ning, L Wang, T Liu, X Shi, S Yan, G Dai, H Yang, Y Wang arXiv preprint arXiv:2402.18158, 2024	55	2024
Flightllm: Efficient large language model inference with a complete mapping flow on fpgas S Zeng, J Liu, G Dai, X Yang, T Fu, H Wang, W Ma, H Sun, S Li, Z Huang, ... Proceedings of the 2024 ACM/SIGDA International Symposium on Field …, 2024	52	2024
Dimmining: pruning-efficient and parallel graph mining on near-memory-computing G Dai, Z Zhu, T Fu, C Wei, B Wang, X Li, Y Xie, H Yang, Y Wang Proceedings of the 49th Annual International Symposium on Computer …, 2022	49	2022
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	39	2021
Mnsim 2.0: A behavior-level modeling tool for processing-in-memory architectures Z Zhu, H Sun, T Xie, Y Zhu, G Dai, L Xia, D Niu, X Chen, XS Hu, Y Cao, ... IEEE transactions on computer-aided design of integrated circuits and …, 2023	30	2023
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	29	2014
Dim: Diffusion mamba for efficient high-resolution image synthesis Y Teng, Y Wu, H Shi, X Ning, G Dai, Y Wang, Z Li, X Liu arXiv preprint arXiv:2405.14224, 2024	27	2024
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	27*	2020
Torchsparse++: Efficient training and inference framework for sparse convolution on gpus H Tang, S Yang, Z Liu, K Hong, Z Yu, X Li, G Dai, Y Wang, S Han Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023	26	2023

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