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The PROOF Distributed Parallel Analysis Framework based on ROOT
TL;DR: This paper describes the key principles of the PROOF architecture and the implementation of the system, its features using a simple example and measurements of the scalability of the System.
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Abstract: The development of the Parallel ROOT Facility, PROOF, enables a physicist to analyze and understand much larger data sets on a shorter time scale. It makes use of the inherent parallelism in event data and implements an architecture that optimizes I/O and CPU utilization in heterogeneous clusters with distributed storage. The system provides transparent and interactive access to gigabytes today. Being part of the ROOT framework PROOF inherits the benefits of a performant object storage system and a wealth of statistical and visualization tools. This paper describes the key principles of the PROOF architecture and the implementation of the system. We will illustrate its features using a simple example and present measurements of the scalability of the system. Finally we will discuss how PROOF can be interfaced and make use of the different Grid solutions.
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Citations
The MAGIC-5 Project: medical applications on a GRID infrastructure connection
Roberto Bellotti,S. Bagnasco,U. Bottigli,M. G. Castellano,Rosella Cataldo,Ezio Catanzariti,P. Cerello,S.C. Cheran,F. De Carlo,Pasquale Delogu,I. De Mitri,G. De Nunzio,Maria Evelina Fantacci,Francesco Fauci,G. Forni,G. Gargano,Bruno Golosio,P. L. Indovina,Adele Lauria,Ernesto Lopez Torres,R. Magro,D. Martello,Giovanni Luca Masala,Raffaella Massafra,Pietro Oliva,R. Palmiero,A.P. Martinez,Roberto Prevete,M. Quarta,Luciano Ramello,Giuseppe Raso,Alessandra Retico,Matteo Santoro,Mario Sitta,Simone Stumbo,Sabina Tangaro,A. Tata,E. Zanon +37 more
- 16 Oct 2004
TL;DR: The MAGIC-5 Project aims at developing computer aided detection (CAD) software for medical applications on distributed databases by means of a GRID infrastructure connection that allow remote image analysis and interactive online diagnosis, with a relevant reduction of the delays actually associated to the screening programs.
41
GELATIO: a general framework for modular digital analysis of high-purity Ge detector signals
TL;DR: GELATIO as mentioned in this paper is a new software framework for advanced data analysis and digital signal processing developed for the GERDA neutrinoless double beta decay experiment, which is tailored to handle the full analysis flow of signals recorded by high purity Ge detectors and photo-multipliers from the veto counters.
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Distributed medical images analysis on a Grid infrastructure
Roberto Bellotti,P. Cerello,Sabina Tangaro,Vitoantonio Bevilacqua,Marcello Castellano,Giuseppe Mastronardi,F. De Carlo,S. Bagnasco,U. Bottigli,Rosella Cataldo,Ezio Catanzariti,S. C. Cheran,Pasquale Delogu,I. De Mitri,G. De Nunzio,Maria Evelina Fantacci,Francesco Fauci,G. Gargano,Bruno Golosio,P. L. Indovina,A. Lauria,E. López Torres,R. Magro,Giovanni Luca Masala,R. Massafra,Piernicola Oliva,A. Preite Martinez,M. Quarta,Giuseppe Raso,Alessandra Retico,Mario Sitta,Simone Stumbo,A. Tata,Sandro Squarcia,Andrea Schenone,Elisa Molinari,Barbara Canesi +36 more
TL;DR: Medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed and algorithms for the analysis of mammographies for breast cancer detection, Computed-Tomography images for lung cancer detection and Positron Emission Tomographic images for the early diagnosis of Alzheimer Disease are developed.
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Grid Enabled Analysis : Architecture, prototype and status
F. van Lingen,M. Thomas,Tahir Azim,I Chitnis,Ashiq Anjum,Dimitri Bourilkov,M Kulkarni,Conrad Steenberg,Richard Cavanaugh,Julian Bunn,J Ukin,Paul Avery,I. Legrand,Harvey B Newman +13 more
- 01 Jan 2005
TL;DR: The Grid Analysis Environment (GAE), which is a continuation of the CAIGEE project [5], is an effort to develop, integrate and deploy a system for distributed analysis.
Parallel interactive data analysis with PROOF
M. Ballintijn,M. Biskup,Rene Brun,Philippe Canal,Derek Feichtinger,Gerardo Ganis,Günter Kickinger,Andreas Peters,Fons Rademakers +8 more
TL;DR: The data analysis model of ROOT and the latest developments on closer integration of PROOF into that model and the ROOT user environment are described, e.g. support forPROOF-based browsing of trees stored remotely, and the popular TTree::Draw() interface.
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References
ROOT — An object oriented data analysis framework
Rene Brun,Fons Rademakers +1 more
TL;DR: ROOT, written in C++, contains an efficient hierarchical OO database, a C++ interpreter, advanced statistical analysis (multi-dimensional histogramming, fitting, minimization, cluster finding algorithms) and visualization tools.
ROOT: an object-oriented data analysis framework
Fons Rademakers,Rene Brun +1 more
TL;DR: The ROOT system in an Object Oriented framework for large scale data analysis contains an efficient hierarchical 00 database, a C ++ interpreter, and advanced statistical analysis (multi-dimensional histogramming, fitting, minimization, cluster finding algorithms) and visualization tools.