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.

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

Find and fix performance bottlenecks and realize all the value of your hardware. Part of the Intel® oneAPI Base Toolkit.

Accelerate scientific computing workloads with this industry-leading math library. Part of the Intel® oneAPI Base Toolkit.

Deploy high-performing data science on CPUs and GPUs using high-speed algorithms. Part of the Intel® oneAPI Base Toolkit.

Build applications that can scale for the future with optimized code designed for Intel® CPUs and GPUs. Part of the Intel® oneAPI HPC Toolkit.

Deliver flexible, efficient, and scalable cluster messaging with this multifabric message-passing library. Part of the Intel® oneAPI HPC Toolkit.

Simplify the task of adding parallelism to complex applications across diverse architectures. Part of the Intel® oneAPI Base Toolkit.  

Design code for efficient vectorization, threading, memory usage, and GPU offloading. Part of the Intel® oneAPI Base Toolkit.

Locate and debug threading, memory, and persistent memory errors early in the design cycle to avoid costly errors later. Part of the Intel® oneAPI HPC Toolkit.

Speed multimedia and data-processing performance with high-quality, low-level building blocks for vision, signal, security, and storage applications. Part of the Intel® oneAPI Base Toolkit.

Verify that cluster components work together for better uptime, productivity, and lower total cost of ownership.

Take a quick look at your application's performance to see if it is well optimized for modern hardware.