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Description of the project: Vectorised calculations and heterogeneous computing architectures receive a lot of attention in HEP. The aim of this project is to provide the introduction to massively parallel calculation and show how they can be useful in various stages of HEP data analysis. The project consists of two parts:
Preliminary requirements: Knowledge of C++ (CUDA) and Python (TensorFlow). Familiarity with numpy would be an advantage.
Project coordinators: Anton Poluektov (anton.poluektov@cern.ch), Dorothea Vom Bruch (dorothea.vom.bruch@cern.ch)
https://mattermost.web.cern.ch/gdr-inf/channels/gpu-vectorisation-hands-on-project
https://cern.zoom.us/j/95974540487?pwd=VVY3OVBjY2ZNdmZlcHEwMGlGVStYZz09
Meeting ID: 959 7454 0487
Passcode: 023379
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Meeting ID: 959 7454 0487
Passcode: 023379