Auto-tuning of parallel IO parameters for HDF5 applications

Proceedings - 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012

Volumn , Issue , 2012, Pages 1430-

  Behzad, Babak ^a   Huchette, Joey ^a   Luu, Huong ^a   Aydt, Ruth ^a   Koziol, Quincey ^a   Prabhat, Mr ^a   Byna, Suren ^a   Chaarawi, Mohamad ^a   Yao, Yushu ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

DEFAULT VALUES; EXTENSIBLE FRAMEWORK; PARALLEL I/O; PARAMETER SEARCH SPACE; PARAMETER VALUES; PERFORMANCE METRICS; POOR PERFORMANCE; RECOMPILING;

BENCHMARKING;

EID: 84876559857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SC.Companion.2012.236     Document Type: Conference Paper

References (4)

1. Darshan: Petascale I/O Characterization Tool, http://www.mcs.anl.gov/ research/projects/darshan/
2. Pyevolve: a Python open source framework for genetic algorithms http://pyevolve.sourceforge.net/
3. Tiwari, Ananta; et. al. 2009. A scalable auto ? tuning framework for compiler optimization. In Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing (IPDPS'09). IEEE Computer Society, Washington, DC, USA
4. Uselton, A. et. al 2010, "Parallel I/O performance: From events to ensembles," Parallel & Distributed Processing (IPDPS), 2010 IEEE International Symposium