Matrix element method for high performance computing platforms Article Swipe
Gilles Grasseau
,
D. Chamont
,
F. Beaudette
,
L. Bianchini
,
O. Davignon
,
L. Mastrolorenzo
,
C. Ochando
,
P. Paganini
,
T. Strebler
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/664/9/092009
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/664/9/092009
Lot of efforts have been devoted by ATLAS and CMS teams to improve the quality of LHC events analysis with the Matrix Element Method (MEM). Up to now, very few implementations try to face up the huge computing resources required by this method. We propose here a highly parallel version, combining MPI and OpenCL, which makes the MEM exploitation reachable for the whole CMS datasets with a moderate cost. In the article, we describe the status of two software projects under development, one focused on physics and one focused on computing. We also showcase their preliminary performance obtained with classical multi-core processors, CUDA accelerators and MIC co-processors. This let us extrapolate that with the help of 6 high-end accelerators, we should be able to reprocess the whole LHC run 1 within 10 days, and that we have a satisfying metric for the upcoming run 2. The future work will consist in finalizing a single merged system including all the physics and all the parallelism infrastructure, thus optimizing implementation for best hardware platforms.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/664/9/092009
- OA Status
- diamond
- Cited By
- 6
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2213806492
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2213806492Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/664/9/092009Digital Object Identifier
- Title
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Matrix element method for high performance computing platformsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2015Year of publication
- Publication date
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2015-12-23Full publication date if available
- Authors
-
Gilles Grasseau, D. Chamont, F. Beaudette, L. Bianchini, O. Davignon, L. Mastrolorenzo, C. Ochando, P. Paganini, T. StreblerList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/664/9/092009Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1742-6596/664/9/092009Direct OA link when available
- Concepts
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Computer science, Large Hadron Collider, Supercomputer, Implementation, CUDA, Software, Parallel computing, Parallelism (grammar), Computational science, Metric (unit), Computer engineering, Operating system, Software engineering, Particle physics, Operations management, Physics, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 2, 2021: 3, 2017: 1Per-year citation counts (last 5 years)
- References (count)
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15Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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