Performance of GeantV em Physics Models

• Main Author: Amadio, G. [UNESP]
• Publication Date: 2017
• Other Authors: Ananya, A., Apostolakis, J., Aurora, A., Bandieramonte, M., Bhattacharyya, A., Bianchini, C. [UNESP], Brun, R., Canal, P., Carminati, F., Cosmo, G., Duhem, L., Elvira, D., Folger, G., Gheata, A., Gheata, M., Goulas, I., Iope, R. [UNESP], Jun, S. Y., Lima, G., Mohanty, A., Nikitina, T., Novak, M., Pokorski, W., Ribon, A., Seghal, R., Shadura, O., Vallecorsa, S., Wenzel, S., Zhang, Y.
• Format: Conference object
• Language: eng
• Source: Repositório Institucional da UNESP
• Download full: http://dx.doi.org/10.1088/1742-6596/898/7/072017; http://hdl.handle.net/11449/170486

The recent progress in parallel hardware architectures with deeper vector pipelines or many-cores technologies brings opportunities for HEP experiments to take advantage of SIMD and SIMT computing models. Launched in 2013, the GeantV project studies performance gains in propagating multiple particles in parallel, improving instruction throughput and data locality in HEP event simulation on modern parallel hardware architecture. Due to the complexity of geometry description and physics algorithms of a typical HEP application, performance analysis is indispensable in identifying factors limiting parallel execution. In this report, we will present design considerations and preliminary computing performance of GeantV physics models on coprocessors (Intel Xeon Phi and NVidia GPUs) as well as on mainstream CPUs.