时间：2014年6月13日(周五) 10:00-11:30
地点：446会议室
报告人：Prof. Xian-He Sun, Illinois Institute of Technology
摘要：
Newly emerged big data applications compound with the lasting memory-wall problem makes data access the prominent performance bottleneck of high-end computing. In addressing this prominent bottleneck, we reevaluate memory systems and introduce the novel C-AMAT model for the design and optimization of concurrent data accesses. C-AMAT is a paradigm shift to support sustained concurrent data accessing from a data-centric view. We will review the concurrency available in modern memory systems, present the concept of C-AMAT, and discuss the considerations and possibility of optimizing parallel data access for big data applications.
报告人简介：
Dr. Xian-He Sun is a Distinguished Professor of Computer Science and the chairman of the Department of Computer Science at the Illinois Institute of Technology (IIT). Dr. Sun is an IEEE fellow and is known for his memory-bounded speedup model, also called Sun-Ni’s Law, for scalable computing. His research interests include parallel and distributed processing, memory and I/O systems, software systems for big data applications, and performance evaluation.
附件下载：
C-AMAT: A Data Access Model for the Big Data Era
地点：446会议室
报告人：Prof. Xian-He Sun, Illinois Institute of Technology
摘要：
Newly emerged big data applications compound with the lasting memory-wall problem makes data access the prominent performance bottleneck of high-end computing. In addressing this prominent bottleneck, we reevaluate memory systems and introduce the novel C-AMAT model for the design and optimization of concurrent data accesses. C-AMAT is a paradigm shift to support sustained concurrent data accessing from a data-centric view. We will review the concurrency available in modern memory systems, present the concept of C-AMAT, and discuss the considerations and possibility of optimizing parallel data access for big data applications.
报告人简介：
Dr. Xian-He Sun is a Distinguished Professor of Computer Science and the chairman of the Department of Computer Science at the Illinois Institute of Technology (IIT). Dr. Sun is an IEEE fellow and is known for his memory-bounded speedup model, also called Sun-Ni’s Law, for scalable computing. His research interests include parallel and distributed processing, memory and I/O systems, software systems for big data applications, and performance evaluation.