Exploring a oneAPI-based GPU-powered backend for scikit-learn
The goal of our study is to evaluate the potential of the oneAPI-based software stack for ease of installation, interoperability, and performance on GPUs for sklearn popular estimators
The goal of our study is to evaluate the potential of the oneAPI-based software stack for ease of installation, interoperability, and performance on GPUs for sklearn popular estimators
The PhD defense of Alexis Cvetkov-Iliev on “Embedding models for relational data analytics” will take place on January 25 at 12:30 in Amphithéâtre Sophie Germain, Inria Saclay. It can also be attended remotely via the following link: https://inria.webex.com/meet/alexis.cvetkov-iliev. Short abstract of the defense:Data analysis, for instance with machine learning, typically…
Fast and More Efficient Machine Learning across Architectures [29 March, 2022] – Soda announces establishing an Intel oneAPI Center of Excellence for scikit-learn acceleration as part of a collaboration with Intel. In the information age, machine learning algorithms must efficiently manage large data sets. This requires scalable algorithms and efficient…
The Soda team, with its research project, is born. We have been working on the project, and assembling the team for a while, so we are really excited to be going live!