GPU for triggering in High Energy Physics Experiments Article Swipe
A. Sidoti
,
S. Amerio
,
Mauro Belgiovine
,
R. Di Sipio
,
A. Gabrielli
,
A. Gianelle
,
D. Lucchesi
,
M. Negrini
,
L. Rinaldi
,
F. Semeria
,
M. Villa
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.22323/1.213.0408
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.22323/1.213.0408
Graphical Processing Units (GPUs) provide exceptional massive parallel computing power with small power consumption.General Purpose Computing on GPU (GPGPU) brings high performance computing with off-the-shelf products.However the full exploitation of this new computing paradigm will not be possible if software applications only partially employ massive parallelism.High Energy Physics (HEP) experiments have much to gain adopting this new computing paradigm.The expected gain in performance in reducing the application latency and dealing with the data high throughput increase, will allow to employ systems based on GPGPU for data acquisition, increasing the available computing power with smaller electric power consumption.All these features suggest the application of GPGPU at the trigger level to provide fast decision and high rejection power.In view of possible applications in a trigger system we will show, using realistic examples based on HEP experiments, the improvement in performance on HEP computing applications after tuning and optimization for running on GPUs.The methodology to improve the performance will also be shown together with results using different GPU architectures.Tracking in the bustling LHC environment is very challenging with multiple minimum bias interactions superimposed to the high transferred momentum one.In particular the porting to GPU architecture of two track reconstruction algorithms will be shown: track fitting with the SVT algorithm and track recognition with the Hough Transform.Both pattern recognition and track fitting would benefit from massive parallelism with high throughput processing that can be fully exploited at trigger level.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.22323/1.213.0408
- https://pos.sissa.it/213/408/pdf
- OA Status
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All OpenAlex metadata
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GPU for triggering in High Energy Physics ExperimentsWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2015Year of publication
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2015-07-03Full publication date if available
- Authors
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A. Sidoti, S. Amerio, Mauro Belgiovine, R. Di Sipio, A. Gabrielli, A. Gianelle, D. Lucchesi, M. Negrini, L. Rinaldi, F. Semeria, M. VillaList of authors in order
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https://doi.org/10.22323/1.213.0408Publisher landing page
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https://pos.sissa.it/213/408/pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://pos.sissa.it/213/408/pdfDirect OA link when available
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Computer science, Energy (signal processing), Physics, Engineering physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| primary_location.raw_source_name | Proceedings of Technology and Instrumentation in Particle Physics 2014 — PoS(TIPP2014) |
| primary_location.landing_page_url | https://doi.org/10.22323/1.213.0408 |
| publication_date | 2015-07-03 |
| publication_year | 2015 |
| referenced_works | https://openalex.org/W2133102330 |
| referenced_works_count | 1 |
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