scholarly journals Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs

2021 ◽  
Vol 251 ◽  
pp. 03045
Author(s):  
Andrea Valassi ◽  
Stefan Roiser ◽  
Olivier Mattelaer ◽  
Stephan Hageboeck
Keyword(s):  
High Energy Physics ◽  
High Energy ◽  
Event Generator ◽  
Software Performance ◽  
Future Directions ◽  
Workflow Execution ◽  
Essential Components ◽  
Lhc Physics ◽  
Hardware Architectures ◽  
Physics Experiments

Physics event generators are essential components of the data analysis software chain of high energy physics experiments, and important consumers of their CPU resources. Improving the software performance of these packages on modern hardware architectures, such as those deployed at HPC centers, is essential in view of the upcoming HL-LHC physics programme. In this paper, we describe an ongoing activity to reengineer the Madgraph5_aMC@NLO physics event generator, primarily to port it and allow its efficient execution on GPUs, but also to modernize it and optimize its performance on vector CPUs. We describe the motivation, engineering process and software architecture design of our developments, as well as the current challenges and future directions for this project. This paper is based on our submission to vCHEP2021 in March 2021, complemented with a few preliminary results that we presented during the conference. Further details and updated results will be given in later publications.

scholarly journals A GPU-Based Kalman Filter for Track Fitting

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Xiaocong Ai ◽  
Georgiana Mania ◽  
Heather M. Gray ◽  
Michael Kuhn ◽  
Nicholas Styles
Keyword(s):  
Kalman Filter ◽  
High Energy Physics ◽  
High Energy ◽  
Track Reconstruction ◽  
Future Directions ◽  
Performance Benchmarking ◽  
Computational Performance ◽  
Hardware Architectures ◽  
Improved Performance ◽  
Performance Gains

AbstractComputing centres, including those used to process High-Energy Physics data and simulations, are increasingly providing significant fractions of their computing resources through hardware architectures other than x86 CPUs, with GPUs being a common alternative. GPUs can provide excellent computational performance at a good price point for tasks that can be suitably parallelized. Charged particle (track) reconstruction is a computationally expensive component of HEP data reconstruction, and thus needs to use available resources in an efficient way. In this paper, an implementation of Kalman filter-based track fitting using CUDA and running on GPUs is presented. This utilizes the ACTS (A Common Tracking Software) toolkit; an open source and experiment-independent toolkit for track reconstruction. The implementation details and parallelization approach are described, along with the specific challenges for such an implementation. Detailed performance benchmarking results are discussed, which show encouraging performance gains over a CPU-based implementation for representative configurations. Finally, a perspective on the challenges and future directions for these studies is outlined. These include more complex and realistic scenarios which can be studied, and anticipated developments to software frameworks and standards which may open up possibilities for greater flexibility and improved performance.

Development of Silicon Sensor Characterization System for Future High Energy Physics Experiments

2015 ◽  
Vol 3 (1) ◽  
pp. 41-45
Author(s):  
Preeti Kumari ◽  
◽  
Kavita Lalwani ◽  
Ranjit Dalal ◽  
Ashutosh Bhardwaj ◽  
...  
Keyword(s):  
High Energy Physics ◽  
High Energy ◽  
Physics Experiments ◽  
Silicon Sensor ◽  
Energy Physics

scholarly journals Performance of an Operating High Energy Physics Data Grid: DØSAR-Grid

2005 ◽  
Vol 20 (16) ◽  
pp. 3874-3876 ◽  
Author(s):  
B. Abbott ◽  
P. Baringer ◽  
T. Bolton ◽  
Z. Greenwood ◽  
E. Gregores ◽  
...  
Keyword(s):  
Geographical Distribution ◽  
High Energy Physics ◽  
High Energy ◽  
End Users ◽  
Southern Analysis ◽  
Data Analyses ◽  
Use Of Technology ◽  
Computing Grid ◽  
Physics Experiments ◽  
Energy Physics

The DØ experiment at Fermilab's Tevatron will record several petabytes of data over the next five years in pursuing the goals of understanding nature and searching for the origin of mass. Computing resources required to analyze these data far exceed capabilities of any one institution. Moreover, the widely scattered geographical distribution of DØ collaborators poses further serious difficulties for optimal use of human and computing resources. These difficulties will exacerbate in future high energy physics experiments, like the LHC. The computing grid has long been recognized as a solution to these problems. This technology is being made a more immediate reality to end users in DØ by developing a grid in the DØ Southern Analysis Region (DØSAR), DØSAR-Grid, using all available resources within it and a home-grown local task manager, McFarm. We will present the architecture in which the DØSAR-Grid is implemented, the use of technology and the functionality of the grid, and the experience from operating the grid in simulation, reprocessing and data analyses for a currently running HEP experiment.

scholarly journals Noise propagation effects in power supply distribution systems for high-energy physics experiments

2017 ◽  
Vol 12 (12) ◽  
pp. P12004-P12004 ◽  
Author(s):  
F. Arteche ◽  
C. Rivetta ◽  
M. Iglesias ◽  
I. Echeverria ◽  
A. Pradas ◽  
...  
Keyword(s):  
Power Supply ◽  
Distribution Systems ◽  
High Energy Physics ◽  
High Energy ◽  
Noise Propagation ◽  
Propagation Effects ◽  
Physics Experiments ◽  
Energy Physics

Status of Cerium Fluoride Performances

1994 ◽  
Vol 348 ◽  
Author(s):  
E. Auffray ◽  
I. Dafinei ◽  
P. Lecoq ◽  
M. Schneegans
Keyword(s):  
Decay Time ◽  
High Energy Physics ◽  
Light Yield ◽  
High Energy ◽  
Radiation Hardness ◽  
Cerium Fluoride ◽  
The World ◽  
Electromagnetic Calorimeters ◽  
Physics Experiments ◽  
Energy Physics

ABSTRACTCerium fluoride offers a reasonable compromise between parameters like the density, the light yield, the scintillation characteristics (particularly the decay time) and the radiation hardness, and is considered today as the best candidate for large electromagnetic calorimeters in future High Energy Physics experiments. Details on the performances of large crystals produced by different manufacturers all over the world and measured by the Crystal Clear collaboration will be shown and the usefulness of a good collaboration between the industry and the users will be highlighted by some examples on the light yield and radiation hardness improvement.

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