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P oS(ACAT)022 Scheduling and Load Balancing in the Parallel ROOT Facility (PROOF)

by Gerardo Ganis, Fons Rademakers
"... The Parallel ROOT Facility (PROOF) enables interactive analysis of distributed data sets in a transparent way. PROOF, which represents an alternative to batch-oriented distributed computing systems, is being successfully used by the PHOBOS experiment since a few years. In view of the start-up of the ..."
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The Parallel ROOT Facility (PROOF) enables interactive analysis of distributed data sets in a transparent way. PROOF, which represents an alternative to batch-oriented distributed computing systems, is being successfully used by the PHOBOS experiment since a few years. In view of the start

Parallel Factor Analysis in Sensor Array Processing

by Nicholas D. Sidiropoulos , Rasmus Bro, Georgios B. Giannakis - IEEE TRANS. SIGNAL PROCESSING , 2000
"... This paper links multiple invariance sensor array processing (MI-SAP) to parallel factor (PARAFAC) analysis, which is a tool rooted in psychometrics and chemometrics. PARAFAC is a common name for low-rank decomposition of three- and higher way arrays. This link facilitates the derivation of power ..."
Abstract - Cited by 126 (19 self) - Add to MetaCart
This paper links multiple invariance sensor array processing (MI-SAP) to parallel factor (PARAFAC) analysis, which is a tool rooted in psychometrics and chemometrics. PARAFAC is a common name for low-rank decomposition of three- and higher way arrays. This link facilitates the derivation

Distributed Parallel Interactive Data Analysis Using the PROOF System

by unknown authors
"... The only way Terabytes of data can be processed and analyzed in a reasonable time is by using parallel processing architectures. The Parallel ROOT Facility, PROOF, is a system for the parallel interactive analysis of such datasets on clusters of heterogeneous computers. Early prototypes have confirm ..."
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The only way Terabytes of data can be processed and analyzed in a reasonable time is by using parallel processing architectures. The Parallel ROOT Facility, PROOF, is a system for the parallel interactive analysis of such datasets on clusters of heterogeneous computers. Early prototypes have

Computing in High Energy and Nuclear Physics, 24-28 March 2003, La Jolla, California The PROOF Distributed Parallel Analysis Framework based on ROOT

by Maarten Ballintijn, Gunther Rol, Rene Brun, Fons Rademakers
"... 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 wi ..."
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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

– 99 – Parallel Data Processing with the PROOF Framework

by M. Schott, O. Biebel, G. Duckeck, J. Elmsheuser, J. Kennedy, G. Krobath, T. Mahmoud, B. Ruckert, D. Schaile, C. Serfon
"... designed to perform physics analyses on parallel computer clusters based on the ROOT framework. Due to the huge amount of data expected at the ATLAS experiment, it was tested to which extent the PROOF framework could be used for physics analyses of ATLAS data. PROOF was installed and configured at t ..."
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designed to perform physics analyses on parallel computer clusters based on the ROOT framework. Due to the huge amount of data expected at the ATLAS experiment, it was tested to which extent the PROOF framework could be used for physics analyses of ATLAS data. PROOF was installed and configured

Interactive Analysis using PROOF in a GRID Infrastructure

by Ana Yaiza, Isidro González Caballero, Cuesta Noriega, Francisco Matorras Weinig
"... Abstract. Current high energy physics experiments aim to explore new territories where new physics is expected. In order to achieve that, a huge amount of data has to be collected and analyzed. The accomplishment of these scientific projects require computing resources beyond the capabilities of a s ..."
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. The Parallel ROOT Facility (PROOF) is intended to speed up even further this procedure providing the user analysis results within a shorter time by simultaneously using more cores. Taking profit of the computing resources and facilities available at Instituto de F́ısica de Cantabria (IFCA), shared between two

Study of Solid State Drives performance in PROOF distributed analysis system

by S Y Panitkin , M Ernst , R Petkus , O Rind , T Wenaus
"... Abstract. Solid State Drives (SSD) is a promising storage technology for High Energy Physics parallel analysis farms. Its combination of low random access time and relatively high read speed is very well suited for situations where multiple jobs concurrently access data located on the same drive. I ..."
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. It also has lower energy consumption and higher vibration tolerance than Hard Disk Drive (HDD) which makes it an attractive choice in many applications raging from personal laptops to large analysis farms. The Parallel ROOT Facility -PROOF is a distributed analysis system which allows to exploit inherent

Optimizing Neural Network Classifiers with ROOT on a Rocks Linux Cluster

by Tomas Lindén, Francisco García, Aatos Heikkinen, Sami Lehti
"... Abstract. We present a study to optimize multi-layer perceptron (MLP) classification power with a Rocks Linux cluster [1]. Simulated data from a future high energy physics experiment at the Large Hadron Collider (LHC) is used to teach a neural network to separate the Higgs particle signal from a dom ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
dominant background [2]. The MLP classifiers have been implemented using the ROOT data analysis framework [3]. We utililize features of the Parallel ROOT facility (PROOF) [4] to analyze our data and to understand the functionality of the neural networks. PROOF is designed for interactive parallel data

Polynomial Root-Finding : Analysis and Computational Investigation of a Parallel Algorithm

by Narendran Tiwari, B. Narendran, P. Tiwari - Proceedings of the 4th Annual Symposium on Parallel Algorithms and Architectures , 1992
"... A practical version of a parallel algorithm that approximates the roots of a polynomial whose roots are all real is developed using the ideas of an existing NC algorithm. An new elementary proof of correctness is provided and the complexity of the algorithm is analyzed. A particular implementation o ..."
Abstract - Cited by 8 (0 self) - Add to MetaCart
A practical version of a parallel algorithm that approximates the roots of a polynomial whose roots are all real is developed using the ideas of an existing NC algorithm. An new elementary proof of correctness is provided and the complexity of the algorithm is analyzed. A particular implementation

INSTRUMENTS-METHODS-03 PROOF on Demand ∗

by P. Malzacher, A. Manafov, V. Penso, C. Preuss, K. Schwarz
"... of ROOT enabling interactive analysis of large sets of ROOT files in parallel. PROOF on Demand, PoD [3], is a set of utilities, which allows starting a PROOF cluster at user request on any resource management system. Installation is simple and doesn’t require administrator privileges, and all the pr ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
of ROOT enabling interactive analysis of large sets of ROOT files in parallel. PROOF on Demand, PoD [3], is a set of utilities, which allows starting a PROOF cluster at user request on any resource management system. Installation is simple and doesn’t require administrator privileges, and all
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