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Intel® C++ Compiler is an industry-leading C/C++ Compiler including optimization features like auto-vectorization OpenMP*.

For developers wanting to explore DPC++ with samples from Intel

Follow tuning and configuration recipes to use analysis types in Intel® VTune™ Profiler. Analyze your code; identify ineffective algorithm and hardware usage; and get tuning advice on performance.

Intel® Trust Domain Extensions (Intel® TDX)

Vector Statistics is a component of Intel® Math Kernel Library (Intel® MKL). VS performs a range of statistical computations.

Vector Mathematics computes elementary functions on vector arguments. It can improve performance for applications.

Performance data obtained using vector statistics random number generator including CPE (clocks per element) unit of measure.

This document contains the instructions to download and install Intel® oneAPI Toolkits for both Windows* and Linux*.

Summary Statistics is a subcomponent of the Vector Statistics domain of Intel® Math Kernel Library. It provides you with functions for initial statistical analysis, and offers solutions for parallel processing of multi-dimensional datasets.

Pedestrian Detection

Documentation to install Converged Edge Insights; an introduction to the command-line interface; and hands-on tutorials

Get a comprehensive overview of Intel® VTune™ Profiler for performance analysis. Understand workflows and tuning methodologies to profile serial and multithreaded applications with Intel® VTune™ Profiler for execution on a variety of hardware platforms (CPU, GPU, and FPGA).

Use GDB to debug DPC++ and OpenCL applications on CPU, GPU, or FPGA.