About
TMVA provides a fast interference system that takes an ONNX model as input and produces compilation-ready standalone C++ scripts as output which can be compiled and executed on CPU architectures. The idea of this project is to extend this capability to generate from the TMVA SOFIE model representation code that can be run also on Intel GPU using both SYCL and Intel OneAPI libraries. These will allow for a more efficient evaluation of these models on Intel accelerator hardware..
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The talk
Credits and licence
- Institution
- CERN
- Department
- CERN openlab Summer Student Programme 2023
- Speaker
- Ioanna Maria Panagou
- Year
- 2023
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed