# Inference of ML models on Intel GPU with SYCL and Intel OneAPI using SOFIE

- Institution: CERN
- Department: CERN openlab Summer Student Programme 2023
- Speaker: Ioanna Maria Panagou
- Year: 2023
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3009304)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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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## Lectures

1. [Inference of ML models on Intel GPU with SYCL and Intel OneAPI using SOFIE](https://invisiblenetwork.ai/learn/cern/3009304/0b21be7fe653), 9 min (CERN's player)