GPU in High Level Trigger (1/3)
- Ivan Kisel (Goethe University Frankfurt am Main, FIAS Frankfurt Institute for Advanced Studies)
Matteo Bauce (ROMA1)
9/10/14, 9:45 AM
The aim of the GAP project is the deployment of Graphic Processing Units (GPU) in real-time applications, ranging from high-energy physics online event selection (trigger) to medical imaging reconstruction. The final goal of the project is to demonstrate that GPUs can have a positive impact in sectors different for rate, bandwidth, and computational intensity. Most crucial aspects currently...
1. GPU-based track quasi-real-time track recognition in imaging devices: from raw data to particle tracks
Cristiano Bozza (SA)
9/10/14, 10:15 AM
Nuclear emulsions as tracking devices suitable for high-energy physics experiments have been recently used by CHORUS, DONUT, PEANUT and OPERA. High statistics is accessible by fast automatic microscopes for emulsion readout. Former systems had to do most processing by the CPU; the next generation, entering duty at the present time, is based on GPU’s. Automatic microscopes need real-time 2D...
Lorenzo Rinaldi (BO)
9/10/14, 10:45 AM
The LHC experiments are designed to detect large amount of physics events produced with a very high rate. Considering the future upgrades, the data acquisition rate will become even higher and new computing paradigms must be adopted for fast data-processing: General Purpose Graphical Processing Units (GPGPU) can be used in a novel approach based on massive parallel computing. The intense...