DeepComp: towards a balanced system design for
high performance computer systems |
| |
Authors: | Mingfa ZHU Limin XIAO Li RUAN Qinfen HAO |
| |
Affiliation: | 1.State Key Laboratory
of Software Development Environment, Beijing 100191, China;School of Computer Science
and Engineering, Beihang University, Beijing 100191, China; 2.School of Computer Science
and Engineering, Beihang University, Beijing 100191, China; |
| |
Abstract: | Today, cluster-based computing is the mainstream architecture for high end computer systems. Balanced system design is critical for large scale cluster systems to achieve high efficiency. This paper addresses the practice on DeepComp high end computer systems toward a balanced system design. Methodologies of designing balanced large scale cluster systems are given. A method for balancing central processing unit (CPU) and memory hierarchy is addressed. For balancing computing nodes and I/O systems, two approaches are given: maximum bandwidth criterion and maximum number of computing nodes which can concurrently access I/O systems. Experiences of Lenovo high end cluster systems show that above methods are effective. Lenovo strategies toward a balanced system design for both peta and 10 peta scale high productivity computing systems (HPCSs). |
| |
Keywords: | high performance computer systems (HPCs) high productivity computing systems (HPCSs) cluster balanced system design |
|
| 点击此处可从《Frontiers of Computer Science》浏览原始摘要信息 |
|
点击此处可从《Frontiers of Computer Science》下载全文 |