3-10 August 2016
Chicago IL USA
US/Central timezone
There is a live webcast for this event.

ATLAS Event Data Organization and I/O Framework Capabilities in Support of Heterogeneous Data Access and Processing Models

Aug 6, 2016, 6:00 PM
Riverwalk A/B

Riverwalk A/B

Poster Computing and Data Handling Poster Session


Jack Cranshaw (Argonne National Laboratory (US))


Choices in persistent data models and data organization have significant performance ramifications 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 opportunistic sub-file-based processing on distributed computing resources. Unique I/O characteristics of high-performance computing platforms pose additional challenges. This paper describes work in the ATLAS experiment at the Large Hadron Collider to provide an I/O framework and tools for persistent data organization to support an increasingly heterogenous array of data access and processing models.

Primary author

Collaboration ATLAS (ATLAS)

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