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[Licence| Download | New Version Template] aefa_v1_0.tar.gz(35473 Kbytes)
Manuscript Title: ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization
Authors: Ilka Antcheva, Maarten Ballintijn, Bertrand Bellenot, Marek Biskup, René Brun, Nenad Buncic, Philippe Canal, Olivier Couet, Valeri Fine, Leandro Franco, Gerardo Ganis, Andrei Gheata, David Gonzalez Maline, Masaharu Goto, Jan Iwaszkiewicz, Anna Kreshuk, Diego Marcos Segura, Richard Maunder, Lorenzo Moneta, Axel Naumann, Edmond Offermann, Valeri Onuchin, Susan Panacek, Fons Rademakers, Paul Russo, Matevz Tadel
Program title: ROOT
Catalogue identifier: AEFA_v1_0
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 180(2009)2499
Programming language: C++.
Computer: Intel i386, Intel x86-64, Motorola PPC, Sun Sparc, HP PA-RISC.
Operating system: GNU/Linux, Windows XP/Vista, Mac OS X, FreeBSD, OpenBSD, Solaris, HP-UX, AIX.
Has the code been vectorised or parallelized?: Yes
RAM: >55 Mbytes
Keywords: C++, object-oriented, framework, interpreter, data storage, data analysis, visualization.
PACS: 00, 07, 05.
Classification: 4, 9, 11.9, 14.

Nature of problem:
Storage, analysis and visualization of scientific data

Solution method:
Object store, wide range of analysis algorithms and visualization methods

Additional comments:
For an up-to-date author list see: http://root.cern.ch/drupal/content/root-development-team and http://root.cern.ch/drupal/content/former-root-developers.

Running time:
depending on the data size and complexity of analysis algorithms

References:
[1] http://root.cern.ch