Difference between revisions of "ROOT"

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{{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}}
 
{{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}}
  
The ROOT system provides a set of OO frameworks with all the functionality
+
The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specialized storage methods are used to get direct access to the separate attributes of the selected objects, without having to touch the bulk of the data. Included are histograming methods in an arbitrary number of dimensions, curve fitting, function evaluation, minimization, graphics and visualization classes to allow the easy setup of an analysis system that can query and process the data interactively or in batch mode, as well as a general parallel processing framework, PROOF, that can considerably speed up an analysis.
    needed to handle and analyze large amounts of data in a very efficient way.
 
    Having the data defined as a set of objects, specialized storage methods are
 
    used to get direct access to the separate attributes of the selected
 
    objects, without having to touch the bulk of the data. Included are
 
    histograming methods in an arbitrary number of dimensions, curve fitting,
 
    function evaluation, minimization, graphics and visualization classes to
 
    allow the easy setup of an analysis system that can query and process the
 
    data interactively or in batch mode, as well as a general parallel
 
    processing framework, PROOF, that can considerably speed up an analysis.
 
 
<!--Modules-->
 
<!--Modules-->
 
==Required Modules==
 
==Required Modules==
<!--
 
 
===Serial===
 
===Serial===
 
* {{#var:app}}
 
* {{#var:app}}
 +
<!--
 
===Parallel (OpenMP)===
 
===Parallel (OpenMP)===
 
* intel
 
* intel

Revision as of 23:57, 27 February 2014

Description

root website  

The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specialized storage methods are used to get direct access to the separate attributes of the selected objects, without having to touch the bulk of the data. Included are histograming methods in an arbitrary number of dimensions, curve fitting, function evaluation, minimization, graphics and visualization classes to allow the easy setup of an analysis system that can query and process the data interactively or in batch mode, as well as a general parallel processing framework, PROOF, that can considerably speed up an analysis.

Required Modules

Serial

  • root

System Variables

  • HPC_{{#uppercase:root}}_DIR