MkFit aims to develop fully vectorized and parallelized tracking algorithms based on the Kalman Filter for use in a collider experiment. For a more complete account, see the main project page.
- Avi Yagil
- Peter Wittich
- Peter Elmer
- Steve Lantz
- Michael (Tres) Reid
- Dan Riley
- Leonardo Giannini
- Slava Krutelyov
- Mario Masciovecchio
- Matevz Tadel
- Bei Wang
- Giuseppe Cerati
- Matti Kortelainen
- Allison Reinsvold Hall
- Brian Gravelle
- Boyana Norris
- 5 May 2020 - "mkFit update: strip tracker unpacking and clustering on GPU", Dan Riley, CMS HLT Upgrade TSG Weekly Meeting
- 28 Apr 2020 - "mkFit update: strip tracker unpacking and clustering on GPU", Dan Riley, CMS Tracker DPG - Tracking POG general Weekly Meeting
- 12 Feb 2020 - "mkfit and HL-LHC tracking in CMS", Mario Masciovecchio, Joint HSF event reconstruction/trigger working group and IRIS-HEP Topical Meeting
- 11 Feb 2020 - "Accelerated Full Tracking at (CMS) HLT", Mario Masciovecchio, CMS scouting kick-off workshop
- 5 Feb 2020 - "mkFit update: strip tracker unpacking and clustering on CPU and GPU", Dan Riley, CMS Tracker DPG/Strip Calibration and Local Reconstruction Weekly Meeting
- Speeding up particle track reconstruction using a parallel Kalman filter algorithm, S. Lantz et. al., JINST 15 P09030 (2020) (29 May 2020).
- Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm, G. Cerati et. al., EPJ Web Conf. 245 02013 (2020) (15 Feb 2020) [1 citation].
- Speeding up Particle Track Reconstruction in the CMS Detector using a Vectorized and Parallelized Kalman Filter Algorithm, G. Cerati et. al., arXiv 1906.11744 (Submitted to CTD/WIT 2019) (27 Jun 2019) [4 citations].
- Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Architectures with the CMS Detector, G. Cerati et. al., J.Phys.Conf.Ser. 1525 012078 (2020) (05 Jun 2019) [3 citations] [NSF PAR].