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About This Document

Intel® Integrated Performance Primitives is software library that provides comprehensive set of application domain-specific.

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

Developer Kits for IoT

Evaluate the best IoT developer kit for your needs. Learn how to get started with your project.

Watch these videos that feature the newest in IoT technology and provide learning opportunities.

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.

Use advanced sampling and profiling methods to quickly analyze code; isolate issues; and deliver performance insight on modern CPUs; GPUs; and FPGAs.

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.

How to use the Conda* package manager to install the Intel® AI Analytics Toolkit.

Use 15 tools and libraries to build and deploy high-performance, data-centric applications. The toolkit includes the Data Parallel C++ language.

Build, analyze, optimize, and scale high-performance computing applications with vectorization, multithreading, parallelization, and more.