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This sample illustrates how to set up and train an XGBoost* model on datasets for prediction. It uses Intel optimized XGBoost from AI Kit.

This sample shows how to use Intel Modin from AI Kit.

This sample shows how to use Intel Low Precision Optimization Tool from AI Kit.

This sample demonstrates the performance advantage of using Intel TF from AI Kit vs Stock TF

This sample code shows how to scale DL training to multi-nodes using Intel PyTorch and oneCCL bindings, part of AI Kit

This sample code shows how to get started with scaling out the training of a neural network to multiple compute nodes in a cluster using Intel TensorFlow and Horovod in AI Kit

This sample will demonstrate how to take advantage of Auto mixed-precision which is part of Intel optimization for PyTorch

Code sample Vector Add DPCT

This sample demonstrates how to migrate a simple program from CUDA to Data Parallel C++. Vector Add provides an easy way to verify that your development environment is set u correctly to use the Intel

The Intel DPC++ Compatibility Tool (dpct) can migrate projects that include of multiple source and header files. This sample provides an example of how to migrate more complex projects and use options

Code Sample Rodinia NW DPCT

This project demonstrates how to migrate a Make/CMake project from CUDA to Data Parallel C++ using the Intel DPC++ Compatibility Tool.

Code Sample Loop Unrolling

The Loop Unroll demonstrates a simple example of unrolling loops to improve the throughput of a DPC++ program for GPU offload.

This document provides details about hardware, operating system, and software prerequisites for the Intel® oneAPI TBB