sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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Omnisc'IO: A Grammar-Based Approach to Spatial and Temporal I/O Patterns Prediction

SESSION: I/O and Dynamic Optimization

EVENT TYPE: Papers

TIME: 3:30PM - 4:00PM

SESSION CHAIR: John West

AUTHOR(S):Matthieu Dorier, Shadi Ibrahim, Gabriel Antoniu, Robert Ross

ROOM:391-92

ABSTRACT:

The increasing gap between the computation performance of post-petascale machines and the performance of their I/O subsystem has motivated many I/O optimizations including prefetching, caching, and scheduling techniques. In order to further improve these techniques, modeling and predicting spatial and temporal I/O patterns of HPC applications as they run has became crucial.
In this paper we present Omnisc'IO, an approach that builds a grammar-based model of the I/O behavior of HPC applications and uses it to predict when future I/O operations will occur, and where and how much data will be accessed. Omnisc'IO is transparently integrated into the POSIX and MPI I/O stacks and does not require any modification in applications or higher-level I/O libraries. It works without any prior knowledge of the application and converges to accurate predictions within a couple of iterations only. Its implementation is efficient in both computation time and memory footprint.

Chair/Author Details:

John West (Chair) - Department of Defense HPC Modernization Program

Matthieu Dorier - IRISA, ENS Rennes

Shadi Ibrahim - French Institute for Research in Computer Science and Automation

Gabriel Antoniu - French Institute for Research in Computer Science and Automation

Robert Ross - Argonne National Laboratory

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society