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Rapid event extraction and tensorial event adaption.

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Title: Rapid event extraction and tensorial event adaption.
Authors: Roiser, Stefan1 (AUTHOR) stefan.roiser@cern.ch, Schöfbeck, Robert2 (AUTHOR) robert.schoefbeck@oeaw.ac.at, Wettersten, Zenny1,2 (AUTHOR) zenny.wettersten@cern.ch
Source: European Physical Journal C -- Particles & Fields. Dec2025, Vol. 85 Issue 12, p1-31. 31p.
Subjects: Event processing (Computer science), Parallel processing, Scattering (Physics)
Abstract: We present Rex and teaRex, C++17 libraries for efficient management of parton-level hard scattering event information and completely generic reweighting of such events, respectively. Rex is primarily an interfacing and I/O library for Les Houches Event format files and provides an internal event format designed with data parallelism in mind, and teaRex extends this format to provide full parton-level reweighting functionality with minimal code needing to be written by the end user. These libraries serve as the foundation for the MadtRex reweighting module for MadGraph5_aMC@NLO, extending the functionality of the CUDACPP plugin to allow for data-parallel model-generic leading order parameter reweighting with on-CPU hardware acceleration and GPU offloading, speeding up reweighting by more than two orders of magnitude compared to MadGraph5_aMC@NLO running on the exact same hardware while providing trivial scalability to larger and distributed systems. [ABSTRACT FROM AUTHOR]
Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Rapid event extraction and tensorial event adaption.
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  Data: <searchLink fieldCode="AR" term="%22Roiser%2C+Stefan%22">Roiser, Stefan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> stefan.roiser@cern.ch</i><br /><searchLink fieldCode="AR" term="%22Schöfbeck%2C+Robert%22">Schöfbeck, Robert</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> robert.schoefbeck@oeaw.ac.at</i><br /><searchLink fieldCode="AR" term="%22Wettersten%2C+Zenny%22">Wettersten, Zenny</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zenny.wettersten@cern.ch</i>
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  Data: <searchLink fieldCode="JN" term="%22European+Physical+Journal+C+--+Particles+%26+Fields%22">European Physical Journal C -- Particles & Fields</searchLink>. Dec2025, Vol. 85 Issue 12, p1-31. 31p.
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  Data: <searchLink fieldCode="DE" term="%22Event+processing+%28Computer+science%29%22">Event processing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+processing%22">Parallel processing</searchLink><br /><searchLink fieldCode="DE" term="%22Scattering+%28Physics%29%22">Scattering (Physics)</searchLink>
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  Data: We present Rex and teaRex, C++17 libraries for efficient management of parton-level hard scattering event information and completely generic reweighting of such events, respectively. Rex is primarily an interfacing and I/O library for Les Houches Event format files and provides an internal event format designed with data parallelism in mind, and teaRex extends this format to provide full parton-level reweighting functionality with minimal code needing to be written by the end user. These libraries serve as the foundation for the MadtRex reweighting module for MadGraph5_aMC@NLO, extending the functionality of the CUDACPP plugin to allow for data-parallel model-generic leading order parameter reweighting with on-CPU hardware acceleration and GPU offloading, speeding up reweighting by more than two orders of magnitude compared to MadGraph5_aMC@NLO running on the exact same hardware while providing trivial scalability to larger and distributed systems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1140/epjc/s10052-025-15108-7
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      – Code: eng
        Text: English
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        PageCount: 31
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      – SubjectFull: Event processing (Computer science)
        Type: general
      – SubjectFull: Parallel processing
        Type: general
      – SubjectFull: Scattering (Physics)
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      – TitleFull: Rapid event extraction and tensorial event adaption.
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              M: 12
              Text: Dec2025
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              Y: 2025
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