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Boosting RDataFrame performance with transparent bulk event processing / Guiraud, Enrico (CERN) ; Blomer, Jakob (CERN) ; Canal, Philippe (Fermilab) ; Naumann, Axel (CERN)
RDataFrame is ROOT’s high-level interface for Python and C++ data analysis. Since it first became available, RDataFrame adoption has grown steadily and it is now poised to be a major component of analysis software pipelines for LHC Run 3 and beyond. [...]
FERMILAB-CONF-24-0684-CSAID.- 2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 06006 Fulltext: 3afc9b57f03c0d303680c14cbbcb8c23 - 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.06006

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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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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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CernVM-FS at Extreme Scales / Promberger, Laura (CERN) ; Blomer, Jakob (CERN) ; Völkl, Valentin (CERN) ; Harvey, Matt (Unlisted)
The CernVM File System (CVMFS) provides the software distribution backbone for High Energy and Nuclear Physics experiments and many other scientific communities in the form of a globally available shared software area. It has been designed for the software distribution problem of experiment software for LHC Runs 1 and 2. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 04012 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.04012

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Parallel Writing of Nested Data in Columnar Formats / Hahnfeld, Jonas (CERN ; Frankfurt U.) ; Blomer, Jakob (CERN) ; Kollegger, Thorsten (Frankfurt U.)
High Energy Physics (HEP) experiments, for example at the Large Hadron Collider (LHC) at CERN, store data at exabyte scale in sets of files. They use a binary columnar data format by the ROOT framework, that also transparently compresses the data. [...]
arXiv:2410.14239.- 2024-08-26 - 14 p. - Published in : Lect. Notes Comput. Sci. 14802 (2024) 18-31 Fulltext: PDF;
In : 30th European Conference on Parallel and Distributed Processing (Euro-Par 2024), Madrid, Spain, 26 - 30 Aug 2024, pp.18-31

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RCS-ICT PSO Large-scale validation and optimisation of RNTuple, the HL-LHC event data format / Blomer, Jakob (CERN) ; Moscicki, Jakub (CERN)
The scope of this initiative is to launch a testbed and performance study for RNTuple on large EOS/XRootD disk pools..
CERN-IT-Note-2024-002. - 2023.
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RCS-ICT PSO: Access and Support for Heterogeneous, non-x86, and latest Single-architecture Chips / Wiebalck, Arne (CERN) ; Girone, Maria (CERN) ; Piparo, Danilo (CERN) ; Blomer, Jakob (CERN)
This PSO aims to establish a consistent framework and processes to express, follow, and resource the transition of a technology from "evaluate" to "in production", leveraging different accesses to non-x86 resources, such as industry collaborations, HPC testbeds, public cloud offerings, and on-premises services [...]
CERN-IT-Note-2024-001. - 2023.
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Annual Report 2023 and Phase-I Closeout / Aglieri Rinella, Gianluca
This report summarises the activities of the CERN strategic R&D programme on technologies for future experiments during the year 2023, and highlights the achievements of the programme during its first phase 2020-2023..
CERN-EP-RDET-2024-001 - 208.

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CernVM-FS: delivering scientific software to globally distributed computing resources / Blomer, Jakob (CERN) ; Buncic, Predrag (CERN) ; Fuhrmann, Thomas (Munich, Tech. U.)
The computing facilities used to process data for the experiments at the Large Hadron Collider at CERN are scattered around the world. The embarrassingly parallel workload allows for use of various computing resources, such as Grid sites of the Worldwide LHC Computing Grid, commercial and institutional cloud resources, as well as individual home PCs in "volunteer clouds". [...]
2011 - 8 p. - Published in : 10.1145/2110217.2110225
In : The International Conference for High Performance Computing, Networking, Storage and Analysis, Seattle, WA, USA, 12 - 18 Nov 2011, pp.49-56

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See also: similar author names
57	BLOMER, Jakob
22	Blomer, J
3	Blomer, J.
1	Blomer, Joseph
2	Blömer, Johannes

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