Technical Computing

Find possible persistent memory errors so the system operates correctly when the power is restored.

Accelerate deep learning frameworks on Intel® architecture with these highly vectorized and threaded building blocks for implementing CNNs with C/C++ interfaces.

Deliver fast, reliable, scalable code with the latest techniques in vectorization, multithreading, multinode parallelization, and memory optimization.

Create better, more reliable, and faster software applications with five powerful libraries. Offered for free to support innovation and impressive performance on Intel® architecture.

Supercharge applications and speed up core computational packages with this performance-oriented distribution. Powered by Anaconda*.

Find performance bottlenecks fast and optimize your code for better performance on modern processors.

Accelerate math processing routines, increase application performance, and reduce development time with the fastest and most-used math library for Intel®-based systems.† († Evans Data Software Developer surveys, 2011-2016)

Boost machine learning and data analytics performance at all stages of the data analytics pipeline: pre-processing, transformation, analysis, modeling, validation, and decision-making.

Easily implement the latest C and C++ language standards (up to the initial C++17) and deliver code that executes in the fewest number of cycles.

Deliver superior Fortran application performance with the industry leader for building high-performance applications.

Deliver flexible, efficient, scalable cluster messaging on Intel® architecture-based clusters; implement the high-performance MPI-3.1 standard on multiple fabrics.

Simplify the task of adding parallelism to your application with this highly templatized C++ library. Take advantage of the CPUs on a single device or across multiple devices (heterogeneity).

Design and optimize high-performing code for modern computer architectures. Effectively use more cores, vectorization, and heterogeneous processing.

Locate and debug threading, memory, and persistent memory errors early in the design cycle for C, C++, and Fortran applications that run on Windows* and Linux*.

Speed performance with high-quality, production-ready, low-level building blocks for image processing, signal processing, and data processing applications.