×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
湖南大学 [38]
内容类型
会议论文 [38]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共38条,第1-10条
帮助
限定条件
内容类型:会议论文
专题:湖南大学
第一署名单位
第一作者单位
通讯作者单位
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
CusNTF: A scalable sparse non-negative tensor factorization model for large-scale industrial applications on multi-GPU
会议论文
27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, 2018
作者:
Li, Hao
;
Li, Kenli
;
An, Jiyao
;
Li, Keqin
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/12/25
GMOD: A Dynamic GPU Memory Overflow Detector
会议论文
27th IEEE/ACM/IFIP International Conference on Parallel Architectures and Compilation Techniques (PACT), Limassol, CYPRUS, 2018
作者:
Di, B
;
Sun, JH
;
Li, D
;
Chen, H
;
Quan, Z
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/25
Buffer Overflows
CUDA
GPU
High Performance
DHCRF: A Distributed Conditional Random Field Algorithm on A Heterogeneous CPU-GPU Cluster for Big Data
会议论文
2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017), 2372-2379, 2017
作者:
Ai, W
;
Li, KL
;
Chen, C
;
Peng, JW
;
Li, KQ
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/26
Big
Data
Conditional
Random
Fields
Distributed
Heterogeneous
CPU-GPU
Cluster
CuSNMF: A sparse non-negative matrix factorization approach for large-scale collaborative filtering recommender systems on multi-GPU
会议论文
15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 2017
作者:
Li, Hao
;
Li, Kenli
;
Peng, Jiwu
;
Li, Keqin
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/26
An efficient parallelization approach for large-scale sparse non-negative matrix factorization using kullback-leibler divergence on Multi-GPU
会议论文
15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 2017
作者:
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/12/26
An Efficient Parallelization Approach for Large-scale Sparse Non-negative Matrix Factorization Using Kullback-Leibler Divergence on Multi-GPU
会议论文
15th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) / 16th IEEE International Conference on Ubiquitous Computing and Communications (IUCC), Guangzhou, PEOPLES R CHINA, 2017
作者:
Li, H
;
Li, KL
;
Peng, JW
;
Hu, JY
;
Li, KQ
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/26
Collaborative filtering (CF)
CUDA parallelization approach
Multi-GPU
Non-negative Matrix Factorization (NMF)
Recommender systems
L-2-norm regularization
Specialization or Generalization: A Study on Breadth-First Graph Traversal on GPUs
会议论文
5th IEEE International Conference on Progress in Informatics and Computing (PIC), Nanjing, PEOPLES R CHINA, 2017
作者:
Zhong, WY
;
Cao, YX
;
Li, JW
;
Sun, JH
;
Chen, H
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/12/26
GPU
Graph Processing
Breadth-First Traversal
BFS
GPU-accelerated histogram generation on smart-phone and webbrowser
会议论文
10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017, Guangzhou, China, 2017
作者:
Jiang, Hai
;
Zhu, Xianyi
;
Xiao, Yi
;
Luo, Jiawei
;
Zheng, Yan
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/12/26
CuSNMF: A Sparse Non-negative Matrix Factorization Approach for Large-Scale Collaborative Filtering Recommender Systems on Multi-GPU
会议论文
15th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) / 16th IEEE International Conference on Ubiquitous Computing and Communications (IUCC), Guangzhou, PEOPLES R CHINA, 2017
作者:
Li, H
;
Li, KL
;
Peng, JW
;
Li, KQ
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/26
Collaborative filtering (CF)
CUDA parallelization approach
Multi-GPU
Non-negative Matrix Factorization (NMF)
Recommender systems
L-2-norm regularization
Texture Transmission Optimization and Prefetching in GPU Hard Accelerated Rendering
会议论文
PROCEEDINGS OF 2013 IEEE 4TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS), 401-404, 2012
作者:
Qing, WH
;
Liang, TH
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/01/05
prefetching
Texture
transmission
©版权所有 ©2017 CSpace - Powered by
CSpace