![](/images/graphics-bg.png)
High Performance Numerical Computing for High Energy Physics : A New Challenge for Big Data Science
Author
Source
Advances in High Energy Physics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Modern physics is based on both theoretical analysis and experimental validation.
Complex scenarios like subatomic dimensions, high energy, and lower absolute temperature are frontiers for many theoretical models.
Simulation with stable numerical methods represents an excellent instrument for high accuracy analysis, experimental validation, and visualization.
High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science.
This paper presents existing computational methods for high energy physics (HEP) analyzed from two perspectives: numerical methods and high performance computing.
The computational methods presented are Monte Carlo methods and simulations of HEP processes, Markovian Monte Carlo, unfolding methods in particle physics, kernel estimation in HEP, and Random Matrix Theory used in analysis of particles spectrum.
All of these methods produce data-intensive applications, which introduce new challenges and requirements for ICT systems architecture, programming paradigms, and storage capabilities.
American Psychological Association (APA)
Pop, Florin. 2014. High Performance Numerical Computing for High Energy Physics : A New Challenge for Big Data Science. Advances in High Energy Physics،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-477170
Modern Language Association (MLA)
Pop, Florin. High Performance Numerical Computing for High Energy Physics : A New Challenge for Big Data Science. Advances in High Energy Physics No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-477170
American Medical Association (AMA)
Pop, Florin. High Performance Numerical Computing for High Energy Physics : A New Challenge for Big Data Science. Advances in High Energy Physics. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-477170
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477170