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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zhu, Mingfa Xiao, Limin Ruan, Li Hao, Qinfen |
| Copyright Year | 2010 |
| 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). |
| Starting Page | 475 |
| Ending Page | 479 |
| Page Count | 5 |
| File Format | |
| ISSN | 16737350 |
| Journal | Frontiers of Computer Science in China |
| Volume Number | 4 |
| Issue Number | 4 |
| e-ISSN | 16737466 |
| Language | English |
| Publisher | SP Higher Education Press |
| Publisher Date | 2010-12-23 |
| Publisher Institution | Chinese Universities |
| Publisher Place | Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | high performance computer systems (HPCs) high productivity computing systems (HPCSs) cluster balanced system design Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computer Science |
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