Characterization and modeling of PIDX parallel I/O for performance optimization

Author:

Kumar Sidharth1,Saha Avishek1,Vishwanath Venkatram2,Carns Philip2,Schmidt John A.1,Scorzelli Giorgio1,Kolla Hemanth3,Grout Ray4,Latham Robert2,Ross Robert1,Papkafa Michael E.5,Chen Jacqueline3,Pascucci Valerio6

Affiliation:

1. University of Utah, Salt Lake City, UT

2. Argonne National Laboratory, Argonne, IL

3. Sandia National Laboratories, Livermore, CA

4. National Renewable Energy Laboratory, Golden, CO

5. Argonne National Laboratory, Argonne, IL and Northern Illinois University, DeKalb, IL

6. University of Utah, Salt Lake City, UT and Pacific Northwest National Laboratory, Richland, WA

Publisher

ACM

Reference42 articles.

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3. Abstract: Auto-Tuning of Parallel IO Parameters for HDF5 Applications

4. C. M. Bishop and N. M. Nasrabadi. Pattern recognition and machine learning volume 1. springer New York 2006. C. M. Bishop and N. M. Nasrabadi. Pattern recognition and machine learning volume 1. springer New York 2006.

5. A case for NUMA-aware contention management on multicore systems

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