Abstract
Lot of efforts have been devoted by ATLAS and CMS teams to improve the quality of LHC events analysis with the Matrix Element Method (MEM). Up to now, very few implementations try to face up the huge computing resources required by this method. We propose here a highly parallel version, combining MPI and OpenCL, which makes the MEM exploitation reachable for the whole CMS datasets with a moderate cost. In the article, we describe the status of two software projects under development, one focused on physics and one focused on computing. We also showcase their preliminary performance obtained with classical multi-core processors, CUDA accelerators and MIC co-processors. This let us extrapolate that with the help of 6 high-end accelerators, we should be able to reprocess the whole LHC run 1 within 10 days, and that we have a satisfying metric for the upcoming run 2. The future work will consist in finalizing a single merged system including all the physics and all the parallelism infrastructure, thus optimizing implementation for best hardware platforms.
Highlights
Lot of efforts have been devoted by ATLAS and CMS teams to improve the quality of LHC events analysis with the Matrix Element Method (MEM)
Conclusion and future work In order to tackle the prohibitive consuming of CPU time, we built a MEM application in two steps
The first one is a MEM parallel implementation already used in production mode which can be deployed, thanks to MPI standard, everywhere from local computing clusters to High Performance Computing centers
Summary
This content has been downloaded from IOPscience. Please scroll down to see the full text. Ser. 664 092009 (http://iopscience.iop.org/1742-6596/664/9/092009) View the table of contents for this issue, or go to the journal homepage for more. Download details: IP Address: 137.138.125.164 This content was downloaded on 08/03/2016 at 12:08 Please note that terms and conditions apply. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015) IOP Publishing. Journal of Physics: Conference Series 664 (2015) 092009 doi:10.1088/1742-6596/664/9/092009. G Grasseau, D Chamont, F Beaudette, L Bianchini, O Davignon, L Mastrolorenzo, C Ochando, P Paganini and T Strebler, on behalf of the CMS Collaboration 1Laboratoire Leprince-Ringuet, Ecole polytechnique, Palaiseau, France 2ETH Zurich, Switzerland
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