Using Parallelization in LHCB Physics Data Analysis

被引：0

作者：

Egorychev, A., V ^{[1
]}

Belyaev, I. M. ^{[1
]}

Ovsyannikova, T. A. ^{[1
]}

机构：

[1] Natl Res Ctr Kurchatov Inst, Alikhanov Inst Theoret & Expt Phys, Moscow 117218, Russia

来源：

PHYSICS OF ATOMIC NUCLEI | 2021年 / 84卷 / 12期

关键词：

LHCb; ROOT; pyROOT; !text type='Python']Python[!/text; pathos; swan; OSTAP;

D O I：

10.1134/S1063778821100112

中图分类号：

O57 [原子核物理学、高能物理学];

学科分类号：

070202 ;

摘要：

At present, parallelization technology is a dynamically evolving area in software development. Using parallelization to adapt software to existing multicore and multiprocessor systems, one can considerably increase the computational performance and significantly reduce the processing speed for big data arrays. High speed of software operation is important both for real-time data preprocessing and data analysis at all subsequent stages, including data visualization. This is the key requirement for the Large Hadron Collider (LHC) experiments. In this article, the results of using parallelization technology for analyzing LHCb physics data, with the jobs implemented in OSTAP based on pathos and pyROOT, are given.

引用

页码：1938 / 1941

页数：4

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