CSpace

浏览/检索结果: 共5条,第1-5条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 12, 页码: 2879-2895
作者:  Han, Rui;  Liu, Chi Harold;  Zong, Zan;  Chen, Lydia Y.;  Liu, Wending;  Wang, Siyi;  Zhan, Jianfeng
收藏  |  浏览/下载:46/0  |  提交时间:2020/12/10
Resource management  Scheduling  Google  Yarn  Tuning  Facebook  Task analysis  Cloud datacenter  cluster scheduler  configuration  job latency  YARN  
LPM: A Systematic Methodology for Concurrent Data Access Pattern Optimization from a Matching Perspective 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 2478-2493
作者:  Liu, Yuhang;  Sun, Xian-He
收藏  |  浏览/下载:40/0  |  提交时间:2020/12/10
Concurrent computing  Optimization  Delays  Program processors  Hardware  Systematics  Analytical models  Memory wall  memory stall time  efficiency  performance optimization  layered performance matching (LPM)  memory concurrency  
Hierarchical Hybrid Memory Management in OS for Tiered Memory Systems 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 2223-2236
作者:  Liu, Lei;  Yang, Shengjie;  Peng, Lu;  Li, Xinyu
收藏  |  浏览/下载:241/0  |  提交时间:2019/12/10
Memory  DRAM  NVM  operating system  scheduling  
HSDC: A Highly Scalable Data Center Network Architecture for Greater Incremental Scalability 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1105-1119
作者:  Zhang, Zhen;  Deng, Yuhui;  Min, Geyong;  Xie, Junjie;  Yang, Laurence T.;  Zhou, Yongtao
收藏  |  浏览/下载:82/0  |  提交时间:2019/08/16
Data center  interconnection network  network topology  hypercube  incremental scalability  routing algorithm  
moDNN: Memory Optimal Deep Neural Network Training on Graphics Processing Units 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 3, 页码: 646-661
作者:  Chen, Xiaoming;  Chen, Danny Ziyi;  Han, Yinhe;  Hu, Xiaobo Sharon
收藏  |  浏览/下载:303/0  |  提交时间:2019/04/03
Deep neural networks  graphics processing units  memory usage