PoS - Proceedings of Science
Volume 282 - 38th International Conference on High Energy Physics (ICHEP2016) - Poster Session
ATLAS Event Data Organization and I/O Framework Capabilities in Support of Heterogeneous Data Access and Processing Models
J. Cranshaw,* D. Malon, M. Nowak, P. van Gemmeren on behalf of the ATLAS collaboration
*corresponding author
Full text: pdf
Pre-published on: February 06, 2017
Published on: April 19, 2017
Choices in persistent data models and data organization have significant performance ramifica- tions for data-intensive scientific computing. In experimental high energy physics, organizing file-based event data for efficient per-attribute retrieval may improve the I/O performance of some physics analyses but hamper the performance of processing that requires full-event access. In-file data organization tuned for serial access by a single process may be less suitable for opportunis- tic sub-file-based processing on distributed computing resources. Unique I/O characteristics of high-performance computing platforms pose additional challenges. The ATLAS experiment at the Large Hadron Collider employs a flexible I/O framework and a suite of tools and techniques for persistent data organization to support an increasingly heterogeneous array of data access and processing models.
DOI: https://doi.org/10.22323/1.282.0852
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