Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Shengen Yan
Observed names:
YAN, Shengen,
Yan Shengen,
Yan, Shengen
Institution:
Tsinghua University
Observed institutions:
North Carolina State University,
Chinese University of Hong Kong,
Shanghai Jiao Tong University,
Chinese Academy of Sciences,
Peking University,
Institute of Software,
University of Chinese Academy of Sciences,
Sensetime (China),
Baidu (China),
Tsinghua University
show all 10
ORCID:
0009-0005-3858-7972
Observed ORCID:
0009-0005-3858-7972
OpenAlex ID:
A5049910854
Deep Image: Scaling up Image Recognition
2015
·
Wu, Ren
, Yan, Shengen
, et al.
·
arXiv (Cornell University)
·
319
PDF
Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs
2017
·
Liqiang Lu
, Yun Liang
, et al.
·
IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)
·
253
Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs
2017
·
Qingcheng Xiao
, Yun Liang
, et al.
·
ACM/IEEE Design Automation Conference (DAC)
·
204
Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs
2019
·
Yun Liang
, Liqiang Lu
, et al.
·
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
·
163
Characterization and prediction of deep learning workloads in large-scale GPU datacenters
2021
·
Qinghao Hu
, Peng Sun
, et al.
·
International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
·
154
PDF
yaSpMV
2014
·
Shengen Yan
, Chao Li
, et al.
·
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
·
127
A coordinated tiling and batching framework for efficient GEMM on GPUs
2019
·
Xiuhong Li
, Yun Liang
, et al.
·
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
·
81
StreamScan
2013
·
Shengen Yan
, Guoping Long
, et al.
·
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
·
81
AMOS
2022
·
Size Zheng
, Renze Chen
, et al.
·
Proceedings - International Symposium on Computer Architecture/Proceedings
·
64
PDF
yaSpMV
2014
·
Shengen Yan
, Chao Li
, et al.
·
ACM SIGPLAN Notices
·
56
Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion
2023
·
Size Zheng
, Siyuan Chen
, et al.
·
IEEE International Symposium on High-Performance Computer Architecture (HPCA)
·
48
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes
2019
·
Sun, Peng
, Feng, Wansen
, et al.
·
arXiv (Cornell University)
·
46
PDF
GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training
2019
·
Peng Sun
, Yonggang Wen
, et al.
·
IEEE Transactions on Big Data
·
43
DIESEL: A Dataset-Based Distributed Storage and Caching System for Large-Scale Deep Learning Training
2020
·
Lipeng Wang
, Songgao Ye
, et al.
·
Proceedings of the International Conference on Parallel Processing
·
38
A Survey on Efficient Inference for Large Language Models
2024
·
Zhou, Zixuan
, Ning, Xuefei
, et al.
·
arXiv (Cornell University)
·
34
PDF
Towards distributed machine learning in shared clusters: A dynamically-partitioned approach
2017
·
SUN, Peng
, WEN, Yonggang
, et al.
·
Singapore Management University Institutional Knowledge (InK) (Singapore Management University)
·
34
Understanding the tradeoffs between software-managed vs. hardware-managed caches in GPUs
2014
·
Chao Li
, Yi Yang
, et al.
·
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
·
29
ASTRAEA: A Fair Deep Learning Scheduler for Multi-Tenant GPU Clusters
2021
·
Zhisheng Ye
, Peng Sun
, et al.
·
IEEE Transactions on Parallel and Distributed Systems
·
28
GPURoofline: A Model for Guiding Performance Optimizations on GPUs
2012
·
Haipeng Jia
, Yunquan Zhang
, et al.
·
Lecture notes in computer science
·
26
PDF
Evaluating Quantized Large Language Models
2024
·
Li, Shiyao
, Ning, Xuefei
, et al.
·
arXiv (Cornell University)
·
21
PDF
Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels
2020
·
Liancheng Jia
, Yun Liang
, et al.
·
IEEE Transactions on Computers
·
20
PDF
Elan: Towards Generic and Efficient Elastic Training for Deep Learning
2020
·
Lei Xie
, Jidong Zhai
, et al.
·
IEEE International Conference on Distributed Computing Systems (ICDCS)
·
17
Parallelization and performance optimization on face detection algorithm with OpenCL: A case study
2012
·
Weiyan Wang
, Yunquan Zhang
, et al.
·
Tsinghua Science & Technology
·
17
Timed Dataflow: Reducing Communication Overhead for Distributed Machine Learning Systems
2016
·
Peng Sun
, Yonggang Wen
, et al.
·
IEEE International Conference on Parallel and Distributed Systems (ICPADS)
·
16
A Cross-Platform SpMV Framework on Many-Core Architectures
2016
·
Yunquan Zhang
, Shigang Li
, et al.
·
ACM Transactions on Architecture and Code Optimization
·
16
PDF
Show more works
View as search
Works count:
68
Citation count:
2,079
H-index:
20
I10-index:
31
Year
Topic
Type
