同济大学嵌入式系统与服务计算教育部重点实验室

[存为首页] [加入收藏]  

欢迎访问同济大学嵌入式系统与服务计算教育部重点实验室

 公元2017年9月21日[星期四]

总访问量:279786    

■首 页 ■实验室概况 ■科研平台 ■研究方向 ■科研队伍 ■科研项目 ■科研成果 ■开放课题 ■人才培养 ■文件下载
当前位置:主页-学术活动-12月25日学术报告

12月25日学术报告

浏览次数:242

【保护视力背景色: 杏仁黄 秋叶褐 胭脂红 芥末绿 天蓝 雪青 灰 银河白(默认色)】 【字色: 绿 粉红 深蓝】 【字体:8 7 6 5 4 3 2 1


  题目:Compiler and Runtime Optimizations for GPU Memory Systems
  
  报告人:吴博
  
  时间:2015年12月25日上午11点—12点
  
  地点:电信楼403会议室
  
  邀请人:周笑波 教授
  
  报告人简介:Bo Wu is an Assistant Professor in the EECS department at Colorado School of Mines. He received his Ph.D. degree in computer science from the College of William and Mary for his dissertation on "Matching Non-Uniformity for Program Optimizations on Heterogeneous Manycore Systems”. He received his M.S. degree in computer science and B.S. degree in mathematics both from Central South University in China. His research interests lie in the broad field of compilers and programming systems, with an emphasis on program optimizations for heterogeneous computing and emerging architectures. Most of his research activities have centered around data locality enhancement for heterogeneous computing systems. He is a recipient of the IBM Center of Advance Study fellowship, the NSF CRII Award, and the best paper award in Supercomputing’15.
  
  内容提要:In recent year, we have seen a rapid rise of massive parallelism in modern processors, exemplified by GPUs, APUs and MIC processors. The emergence of massive parallelism in a single node brings growing demands for efficient data accesses. Optimizing memory throughput is hence critical for tapping into the full potential of the many-core systems. In the first half of the talk, I will present some theoretical and empirical results on optimizing memory coalescing for GPUs. In the second half of the talk, I will present our framework to automatically place data on GPUs for performance and portability.
  
  
  
  欢迎各位老师同学踊跃参加!
 

发布日期:2015-12-24

本篇已是该组第一篇   

本篇已是该组最后一篇