Maximize Code Performance
Develop high-performance parallel code and accelerate workloads across enterprise, cloud, high-performance computing (HPC), and AI applications.
Code New Breakthroughs in Software Performance
This comprehensive suite of development tools makes it simpler to build and modernize code with the latest techniques in vectorization, multithreading, multinode parallelization, and memory optimization. It enables C, C++, Fortran, and Python* software developers to:
Create faster code: Boost application performance that scales on current and future
Build code faster: Simplify the process of creating parallel code.
Get priority support: Connect directly to Intel engineers for confidential answers to
What's New in 2020:
Modernize Code for Performance, Scalability, and Portability
• Write applications that scale with improved parallel performance on the latest Intel®
Xeon® and Intel® Core™ processors using Intel® Advanced Vector Extensions 512
(Intel® AVX-512) instructions.
•Vectorize and thread your code using OpenMP* to take advantage of the latest SIMD-
enabled hardware, including Intel AVX-512.
•Speed up AI inferencing with compilers from Intel, Intel® Performance Libraries, and analysis tools that support Intel® Deep Learning Boost with Vector Neural Network Instructions (VNNI) in 2nd generation IntelR Xeon® Scalable processors.
•Develop for large memories of up to 512 GB DIMMs with persistence. Identify, optimize, and tune Intel platforms for Intel® Optane™ DC persistent memory using Intel® VTune™ Profiler.
•Use extended coarse-grain profiling with platform-level collection and analysis in Intel VTune Profiler to understand and optimize platform configuration for applications.
•Perform cache simulation insights for vectorization with roofline analysis for L1, L2, L3, and DRAM in Intel® Advisor.
•Support for the HPC cloud helps you take advantage of the AWS* Parallel Cluster* and AWS Elastic Fabric Adapter for low-latency, high-bandwidth communications for MPI applications with the Intel® MPI Library.
-Stay up to date with the latest standards and integrated development environments (IDE):
- Full C++ 2017 support with initial C++20 support
- Full Fortran 2008 and expanded Fortran 2018
- Python 3.7 support
- Full OpenMP 4.5 and initial OpenMP 5.0 draft
- Microsoft Visual Studio* 2019 integration
-Supports an additional operating system: Amazon Linux 2*.
Flexibility for Your Needs
-Access the latest IntelR Performance Libraries and IntelR Distribution for Python* via conda*, PIP*, Docker Hub*, APT GET, YUM, and NuGet.
|Three editions based on your development needs:
Build fast code using industry-leading
compilers, performance libraries, and
high-performance Python packages.
C++ and/or Fortran* compilers, performance
libraries, parallel models, and Python
packages powered by native Intel Performance
Adds analysis tools
Includes: Composer Edition plus performance profiler,
vectorization and threading advisor,
and memory and thread debugger.
Adds MPI cluster tools
Includes: Professional Edition plus MPI cluster communications
library, MPI error checking / tuning
and a cluster diagnostic expert system.