Geant4 Computing Performance Benchmarking and Monitoring. Issue 6 (December 2015)

• Record Type: Journal Article
• Authors: Dotti, Andrea; Elvira, V. Daniel; Folger, Gunter; Genser, Krzysztof; Jun, Soon Yung; Kowalkowski, James B.; Paterno, Marc
• Is Part Of: Journal of physics. Volume 664:Issue 6(2015)
• Publication Date: 2015-12
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/664/6/062021
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Performance evaluation and analysis of large scale computing applications is essential for optimal use of resources. As detector simulation is one of the most compute intensive tasks and Geant4 is the simulation toolkit most widely used in contemporary high energy physics (HEP) experiments, it is important to monitor Geant4 through its development cycle for changes in computing performance and to identify problems and opportunities for code improvements. All Geant4 development and public releases are being profiled with a set of applications that utilize different input event samples, physics parameters, and detector configurations. Results from multiple benchmarking runs are compared to previous public and development reference releases to monitor CPU and memory usage. Observed changes are evaluated and correlated with code modifications. Besides the full summary of call stack and memory footprint, a detailed call graph analysis is available to Geant4 developers for further analysis. The set of software tools used in the performance evaluation procedure, both in sequential and multi-threaded modes, include FAST, IgProf and Open|Speedshop. The scalability of the CPU time and memory performance in multi-threaded application is evaluated by measuring event throughput and memory gain as a function of the number of threads for selected event samples.