Abstract
The Kalman filter is a critical component of the reconstruction process of subatomic particle collision in high-energy physics detectors. At the LHCb detector in the Large Hadron Collider this reconstruction must be performed at an average rate of 30 million times per second. As a consequence of the ever-increasing collision rate and upcoming detector upgrades, the data rate that needs to be processed in real time is expected to increase by a factor of 40 in the next five years. In order to keep pace, processing and filtering software must take advantage of latest developments in hardware technology
Original language | English |
---|---|
Title of host publication | Euro-Par 2017: Parallel Processing Workshops |
Subtitle of host publication | European Conference on Parallel Processing |
Publisher | Springer International Publishing |
Pages | 378-389 |
Number of pages | 12 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |