BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20131119T230000Z
DTEND:20131119T233000Z
LOCATION:405/406/407
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: We present an auto-tuning system for optimizing I/O performance of HDF5 applications and demonstrate its value across platforms, applications, and at scale. The system uses a genetic algorithm to search a large space of tunable parameters and to identify effective settings at all layers of the parallel I/O stack. The parameter settings are applied transparently by the auto-tuning system via dynamically intercepted HDF5 calls.=0A=0ATo validate our auto-tuning system, we applied it to three I/O benchmarks that replicate the I/O activity of their respective applications. We tested the system with different weak-scaling configurations  that generate 30 GB to 1 TB of data, and executed these configurations on diverse HPC platforms (Cray XE6, IBM BG/P, and Dell Cluster). In all cases, the auto-tuning framework identified tunable parameters that substantially improved write performance over default system settings. We consistently demonstrate I/O write speedups between 2x and 50x for test configurations.
SUMMARY:Taming Parallel I/O Complexity with Auto-Tuning
PRIORITY:3
END:VEVENT
END:VCALENDAR