This article provides an overview of LLVM and how it applies to oneAPI and its compiler.

Intel has invested in optimizing performance of Python itself, with the Intel® Distribution for Python, and has optimized key data science libraries used with scikit-learn, such as XGBoost, NumPy, and SciPy. This article gives more information on installing and using these extensions.

In this article we discuss how to use SYCL and oneIPL to offload Gaussian image filtering to an accelerator.

This document demonstrates how a linear algebra Jacobi iterative method written in CUDA* can be migrated to the SYCL* heterogenous programing language.

This article focuses on tuning and scaling a deep-learning-based algorithm on a cluster of compute nodes.

This article serves to provide users a guide for best practices and advice when using Intel® Distribution of Modin.

This article examines how Intel provides standardized specifications that streamline this environment.