25 citations · 59 across the 7 of their papers we have counts for
7 papers · 1 filter
Evolution of the energy efficiency of LHCb's real-time processing
Roel Aaij, Daniel Hugo Cámpora Pérez, Tommaso Colombo +7
The upgraded LHCb detector, due to start datataking in 2022, will have to process an average data rate of 4~TB/s in real time. Because LHCb's physics objectives require that the fu…
The Mu3e Data Acquisition
Heiko Augustin, Niklaus Berger, Alessandro Bravar +25
The Mu3e experiment aims to find or exclude the lepton flavour violating decay with a sensitivity of one in 10 muon decays. The first phase of the experim…
Real-time data processing with GPUs in high energy physics
Dorothea vom Bruch
As high energy physics experiments reach higher luminosities and intensities, the computing burden for real time data processing and reduction grows. Following the developments in…
A parallel-computing algorithm for high-energy physics particle tracking and decoding using GPU architectures
Placido Fernandez Declara, Daniel Hugo Cámpora Pérez, Javier Garcia-Blas +3
Real-time data processing is one of the central processes of particle physics experiments which require large computing resources. The LHCb (Large Hadron Collider beauty) experimen…
Allen: A high level trigger on GPUs for LHCb
R. Aaij, J. Albrecht, M. Belous +26
We describe a fully GPU-based implementation of the first level trigger for the upgrade of the LHCb detector, due to start data taking in 2021. We demonstrate that our implementati…
Efficiency and timing performance of the MuPix7 high-voltage monolithic active pixel sensor
Heiko Augustin, Niklaus Berger, Sebastian Dittmeier +17
The MuPix7 is a prototype high voltage monolithic active pixel sensor with 103 times 80 um2 pixels thinned to 64 um and incorporating the complete read-out circuitry including a 1.…