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Электронный каталог: Dima, M.-O. - Flash-Algorithm for Helix Fit
Dima, M.-O. - Flash-Algorithm for Helix Fit
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Статья
Автор: Dima, M.-O.
International Journal of Modern Physics E [Electronic resource]: Flash-Algorithm for Helix Fit
б.г.
ISBN отсутствует
Автор: Dima, M.-O.
International Journal of Modern Physics E [Electronic resource]: Flash-Algorithm for Helix Fit
б.г.
ISBN отсутствует
Статья
Dima, M.-O.
Flash-Algorithm for Helix Fit / M.-O.Dima, M.-T.Dima, M.Dima, M.Mihailescu // International Journal of Modern Physics E [Electronic resource]. – 2024. – Vol. 33, No. 11 : Nucleus-2024: Fundamental Problems and Applications. Part 1 : Selected Papers of LXXIV Int. Conference, Dubna, Russia. – P. 2441006. – URL: https://doi.org/10.1142/S0218301324410064. – Bibliogr.: 7.
We present a novel helix fit, based on an analytical method, on par with FPGA implementations in terms of speed. High-luminosity experiments exhibit event pileup (200 at the upgraded LHC).&sup(1,2) To cope with the data load, the concept of Hardware Track Trigger (in the Event Filter pipeline) emerged. The specific solution3 at ATLAS deploys a Stratix-10 FPGA chip in conjunction with a pre-fitted track database. The throughput is approximately 1.5 M tracks/s. Comparatively we can fit 7.6 M tracks/s (without pattern recognition, no field non-uniformity) on Xeon-Icelake – which puts our solution in a competitive position vis-á-vis the dedicated hardware one when pattern recognition (say Hough transform for stiff tracks, equivalent to resolution relaxation in Ref. 3) is included.
ОИЯИ = ОИЯИ (JINR)2024
Спец.(статьи,препринты) = С 344.1ш - Методы обработки результатов измерений
Спец.(статьи,препринты) = Ц 840 в - Программы обработки экспериментальных данных и управление физическими установками$
Dima, M.-O.
Flash-Algorithm for Helix Fit / M.-O.Dima, M.-T.Dima, M.Dima, M.Mihailescu // International Journal of Modern Physics E [Electronic resource]. – 2024. – Vol. 33, No. 11 : Nucleus-2024: Fundamental Problems and Applications. Part 1 : Selected Papers of LXXIV Int. Conference, Dubna, Russia. – P. 2441006. – URL: https://doi.org/10.1142/S0218301324410064. – Bibliogr.: 7.
We present a novel helix fit, based on an analytical method, on par with FPGA implementations in terms of speed. High-luminosity experiments exhibit event pileup (200 at the upgraded LHC).&sup(1,2) To cope with the data load, the concept of Hardware Track Trigger (in the Event Filter pipeline) emerged. The specific solution3 at ATLAS deploys a Stratix-10 FPGA chip in conjunction with a pre-fitted track database. The throughput is approximately 1.5 M tracks/s. Comparatively we can fit 7.6 M tracks/s (without pattern recognition, no field non-uniformity) on Xeon-Icelake – which puts our solution in a competitive position vis-á-vis the dedicated hardware one when pattern recognition (say Hough transform for stiff tracks, equivalent to resolution relaxation in Ref. 3) is included.
ОИЯИ = ОИЯИ (JINR)2024
Спец.(статьи,препринты) = С 344.1ш - Методы обработки результатов измерений
Спец.(статьи,препринты) = Ц 840 в - Программы обработки экспериментальных данных и управление физическими установками$