18–22 Jan 2016
UTFSM, Valparaíso (Chile)
Chile/Continental timezone

Multi-threaded Software Framework Development for the ATLAS Experiment

21 Jan 2016, 16:35
25m
UTFSM, Valparaíso (Chile)

UTFSM, Valparaíso (Chile)

Avenida España 1680, Valparaíso Chile
Oral Computing Technology for Physics Research Track 1

Speaker

Graeme Stewart (University of Glasgow (GB))

Description

ATLAS's current software framework, Gaudi/Athena, has been very successful for the experiment in LHC Runs 1 and 2. However, its single threaded design has been recognised for some time to be increasingly problematic as CPUs have increased core counts and decreased available memory per core. Even the multi-process version of Athena, AthenaMP, will not scale to the range of architectures we expect to use beyond Run2. ATLAS examined the requirements on an updated multi-threaded framework and laid out plans for a new framework, including better support for high level trigger (HLT) use cases, in 2014. In this paper we report on our progress in developing the new multi-threaded task parallel extension of Athena, AthenaMT. Implementing AthenaMT has required many significant code changes. Progress has been made in updating key concepts of the framework, to allow the incorporation of different levels of thread safety in algorithmic code (from un-migrated thread-unsafe code, to thread safe copyable code to reentrant code). Substantial advances have also been made in implementing a data flow centric design, which has fundamental implications on the structure of the framework, as well as on the development of the new 'event views' infrastructure. These event views support partial event processing and are an essential component to support the HLT's processing of certain regions of interest and we give results from early tests. A major effort has also been invested to have an early version of AthenaMT that can run simulation on many core architectures, which has augmented the understanding gained from work on earlier demonstrators ATLAS demonstrators. We also discuss progress in planning the migration of the large ATLAS algorithmic code base to AthenaMT for Run3.

Authors

Andrea Dotti (SLAC National Accelerator Laboratory (US)) Benjamin Michael Wynne (University of Edinburgh (GB)) Charles Leggett (Lawrence Berkeley National Lab. (US)) David Malon (Argonne National Laboratory (US)) Graeme Stewart (University of Glasgow (GB)) John Baines (STFC - Rutherford Appleton Lab. (GB)) Paolo Calafiura (Lawrence Berkeley National Lab. (US)) Peter Van Gemmeren (Argonne National Laboratory (US)) Scott Snyder (Brookhaven National Laboratory (US)) Steven Andrew Farrell (Lawrence Berkeley National Lab. (US)) Tomasz Bold (AGH Univ. of Science and Technology, Krakow) Vakho Tsulaia (Lawrence Berkeley National Lab. (US))

Presentation materials

Peer reviewing

Paper