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CERN Document Server Sök i 2,038 journaler efter:  1 - 10nästaslut  gå till journal: Sökningen tog 1.00 sekunder. 
1.
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I/O performance studies of analysis workloads on production and dedicated resources at CERN / Sciabà, Andrea (CERN) ; Blomer, Jakob (CERN) ; Canal, Philippe (Fermilab) ; Duellmann, Dirk (CERN) ; Guiraud, Enrico (CERN) ; Naumann, Axel (CERN) ; Padulano, Vincenzo Eduardo (CERN) ; Panzer-Steindel, Bernd (CERN) ; Peters, Andreas (CERN) ; Schulz, Markus (CERN) et al.
The recent evolutions of the analysis frameworks and physics data formats of the LHC experiments provide the opportunity of using central analysis facilities with a strong focus on interactivity and short turnaround times, to complement the more common distributed analysis on the Grid. In order to plan for such facilities, it is essential to know in detail the performance of the combination of a given analysis framework, of a specific analysis and of the installed computing and storage resources. [...]
FERMILAB-CONF-24-0689-CSAID.- 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 07025 Fulltext: 9b80f56360993741399aef5f272f8af7 - PDF; document - PDF; External link: Fermilab Library Server
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.07025
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ROOT’s RNTuple I/O Subsystem: The Path to Production / Blomer, Jakob (CERN) ; Canal, Philippe (Fermilab) ; de Geus, Florine (CERN) ; Hahnfeld, Jonas (CERN) ; Naumann, Axel (CERN) ; Lopez-Gomez, Javier (CERN) ; Miotto, Giovanna Lazzari (CERN) ; Padulano, Vincenzo Eduardo (CERN)
The RNTuple I/O subsystem is ROOT’s future event data file format and access API. It is driven by the expected data volume increase at upcoming HEP experiments, e.g. [...]
FERMILAB-CONF-24-0690-CSAID.- 2024 - 7 p. - Published in : EPJ Web Conf. 295 (2024) 06020 Fulltext: document - PDF; 5fef0b895aa1fd0f7fb49d3c87a67721 - PDF; External link: Fermilab Library Server
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.06020
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3.
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ROOT for the HL-LHC: data format / Naumann, Axel (CERN) ; Canal, Philippe (Fermilab) ; Tejedor, Enric (CERN) ; Guiraud, Enrico (CERN) ; Moneta, Lorenzo (CERN) ; Bellenot, Bertrand (CERN) ; Couet, Olivier (CERN) ; Tadel, Alja Mrak (San Diego State U.) ; Tadel, Matevz ; Linev, Sergey (San Diego State U. ; Darmstadt, GSI) et al.
This document discusses the state, roadmap, and risks of the foundational components of ROOT with respect to the experiments at the HL-LHC (Run 4 and beyond). [...]
FERMILAB-FN-1165-SCD ; arXiv:2204.04557. -
Fermilab Library Server - Fulltext - Fulltext
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4.
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Integration of RNTuple in ATLAS Athena / de Geus, Florine (CERN) ; López-Gómez, Javier (CERN) ; Blomer, Jakob (CERN) ; Nowak, Marcin (Brookhaven) ; van Gemmeren, Peter (Argonne)
After using ROOT’s TTree I/O subsystem for over two decades and storing more than an exabyte of compressed High Energy Physics (HEP) data, advances in technology have motivated a complete redesign, RNTuple, which breaks backward-compatibility to take better advantage of these storage options. The RNTuple I/O subsystem has been designed to address performance bottlenecks and other shortcomings of TTree. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 06013 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.06013
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First implementation and results of the Analysis Grand Challenge with a fully Pythonic RDataFrame / Padulano, Vincenzo Eduardo (CERN) ; Guiraud, Enrico (CERN ; Princeton U.) ; Falko, Andrii (Taras Shevchenko U.) ; Gazzarrini, Elena (CERN) ; Garcia Garcia, Enrique (CERN) ; Gosein, Domenic (CERN ; Mannheim U.)
The growing amount of data generated by the LHC requires a shift in how HEP analysis tasks are approached. Efforts to address this computational challenge have led to the rise of a middle-man software layer, a mixture of simple, effective APIs and fast execution engines underneath. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 06011 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.06011
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RNTuple performance: Status and Outlook / Lopez-Gomez, Javier (CERN) ; Blomer, Jakob (CERN)
Upcoming HEP experiments, e.g. at the HL-LHC, are expected to increase the volume of generated data by at least one order of magnitude. [...]
arXiv:2204.09043.- 2023 - 5 p.
- Published in : J. Phys. : Conf. Ser.: 2438 (2023) , no. 1, pp. 012118 Fulltext: 2204.09043 - PDF; document - PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012118
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Fine-grained data caching approaches to speedup a distributed RDataFrame analysis / Padulano, Vincenzo Eduardo (Valencia, Polytechnic U. ; CERN) ; Tejedor Saavedra, Enric (CERN) ; Alonso-Jordá, Pedro (Valencia, Polytechnic U.)
Thanks to its RDataFrame interface, ROOT now supports the execution of the same physics analysis code both on a single machine and on a cluster of distributed resources. In the latter scenario, it is common to read the input ROOT datasets over the network from remote storage systems, which often increases the time it takes for physicists to obtain their results. [...]
2021 - 11 p. - Published in : EPJ Web Conf. 251 (2021) 02027 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02027
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8.
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Distributed data analysis with ROOT RDataFrame / Padulano, Vincenzo Eduardo (CERN ; Milan Bicocca U.) ; Villanueva, Javier Cervantes (CERN) ; Guiraud, Enrico (CERN ; Oldenburg U.) ; Tejedor Saavedra, Enric (CERN)
Widespread distributed processing of big datasets has been around for more than a decade now thanks to Hadoop, but only recently higher-level abstractions have been proposed for programmers to easily operate on those datasets, e.g. Spark. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 03009 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.03009
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9.
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A caching mechanism to exploit object store speed in High Energy Physics analysis / Padulano, Vincenzo Eduardo (CERN ; Valencia, Polytechnic U.) ; Saavedra, Enric Tejedor (CERN) ; Alonso-Jorda, Pedro (Valencia, Polytechnic U.) ; Gomez, Javier Lopez (CERN) ; Blomer, Jakob (CERN)
AbstractData analysis workflows in High Energy Physics (HEP) read data written in the ROOT columnar format. Such data has traditionally been stored in files that are often read via the network from remote storage facilities, which represents a performance penalty especially for data processing workflows that are I/O bound. [...]
2023 - 16 p. - Published in : Cluster Comput. 26 (2023) 2757-2772 Fulltext: PDF;
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Impact of RNTuple on storage resources for ATLAS production / Ovsiannikova, Tatiana (University of Washington (US)) ; Nowak, Marcin (Brookhaven National Laboratory (US)) ; Van Gemmeren, Peter (Argonne National Laboratory (US)) ; Mete, Alaettin Serhan (Argonne National Laboratory (US)) /ATLAS Collaboration
Over the past years, the ROOT team has been developing a new I/O format called RNTuple to store data from experiments at CERN's Large Hadron Collider. RNTuple is designed to improve ROOT's existing TTree I/O subsystem by improving I/O speed and introducing a more efficient binary data format [...]
ATL-SOFT-SLIDE-2024-502.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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