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Learn the essentials of Data Parallel C++ (DPC++) programming language for use in heterogeneous computing through hand-on practice.

For universities and students, this program includes access to Intel® oneAPI hardware and accelerators.

Migrate existing CUDA code to Data Parallel C++ (DPC++) code. This tool is included in the Intel® oneAPI Base Toolkit.

Learn how the oneAPI initiative enables data-centric workloads to run across CPUs, GPUs, FPGAs, and other accelerators.

February 2020 marks Year 7 of Intel® System Studio, a tool suite for optimizing system bring-up and the apps that run on them.

Find out how new enhancements in the Intel® Distribution of OpenVINO™ toolkit, including INT8 quantization, give inference-dependent apps a boost.

Learn how to offload AI apps for use on CPUs and Xe architecture GPUs by using OpenMP plus the optimized Intel® C++ Compiler and Intel® Fortran Compi

Find out how new features in Intel® oneAPI Threading Building Blocks (oneTBB) can be used to tune NUMA systems without performance degradation.

Kick start the new decade of development with an overview of the new tool suite for enterprise, cloud, HPC, AI, and more.

Find out how Deep Learning Workbench, part of OpenVINO toolkit, helps you more easily run and optimize deep learning models.

Get best practices for optimizing HPC applications, whether they run on-premise, in the cloud, or straddle a hybrid of both.

Gain deep insight into your application performance on its target hardware with Roofline Analysis in Intel® Advisor.