Multi-threaded software framework development for the ATLAS experiment

17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research

物理学;计算机科学

Stewart, G.A.^1 ; Baines, J.^2 ; Bold, T.^3 ; Calafiura, P.^4 ; Dotti, A.^5 ; Farrell, S.A.^4 ; Leggett, C.^4 ; Malon, D.^6 ; Ritsch, E.^7 ; Snyder, S.^8 ; Tsulaia, V.^4 ; Van Gemmeren, P.^6 ; Wynne, B.M.^9

University of Glasgow, University Avenue, Glasgow

G12 8QQ, United Kingdom^1

Rutherford Appleton Laboratory, Harwell, Didcot

OX11 0QX, United Kingdom^2

AGH University of Science and Technology, Krakow

30-059, Poland^3

Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley

CA

94720, United States^4

SLAC National Accelerator Laboratory, 2575 Sand Hill Rd, CA

94025, United States^5

Argonne National Laboratory, 9700 Cass Ave, Lemont

IL

60439, United States^6

European Organization for Nuclear Research (CERN), Geneva 23

CH-1211, Switzerland^7

Brookhaven National Laboratory, Upton

NY, United States^8

University of Edinburgh, Edinburgh

EH9 3FD, United Kingdom^9

关键词: ATLAS experiment;    Event Processing;    High-level triggers;    Many-core architecture;    Multi-Processes;    Multithreaded softwares;    Regions of interest;    Software frameworks;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/762/1/012024/pdf
DOI  :  10.1088/1742-6596/762/1/012024

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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 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, allowing different levels of thread safety in algorithmic code. Substantial advances have also been made in implementing a data flow centric design, 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 High Level Trigger's processing of certain regions of interest. 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 ATLAS demonstrators.