Reducing communication costs in collective I/O in multi-core cluster systems with non-exclusive scheduling

Author:

Cha Kwangho,Maeng Seungryoul

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference32 articles.

1. TOP 500 Supercomputer Sites (2010) http://www.top500.org/ . Accessed 17 August 2010

2. Shan H, Shalf J (2007) Using IOR to analyze the I/O performance for HPC platforms. In: Cray users group meeting (CUG), Seattle, Washington

3. Zhang Z, Espinosa A, Iskra K, Raicu I, Foster I, Wilde M (2008) Design and evaluation of a collective IO model for loosely coupled petascale programming. In: Proc of the ACM/IEEE SC08 workshop on many-task computing on grids and supercomputers, pp 1–10. ISBN:978-1-4244-2872-4

4. Liao W-K, Choudhary A (2008) Dynamically adapting file domain partitioning methods for collective I/O based on underlying parallel file system locking protocols. In: Proc of the 2008 ACM/IEEE conference on supercomputing, Article no 3. ISBN:978-1-4244-2834-2

5. Thakur R, Gropp W, Lusk E (1999) Data sieving and collective I/O in ROMIO. In: Proc of the 7th symposium on the frontiers of massively parallel computation. IEEE Computer Society Press, Los Alamitos, pp 182–189. ISBN:0-7695-0087-0

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