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 Intel platforms.
• Build code faster: Simplify the process of creating parallel code.
• Get Priority Support: Connect directly to Intel engineers for confidential answers to technical questions.

Modernize Code for Performance, Scalability, and Portability

• Write applications that scale with improved parallel performance on the latest IntelR XeonR and Intel Core? processors using IntelR Advanced Vector Extensions 512 (IntelR AVX-512) instructions
• Gain greater scalability and reduce latency with next generation IntelR MPI Library
• Vectorize and thread your code (using OpenMP*) to take advantage of the latest SIMD-enabled hardware, including Intel AVX-512
• Speed up machine learning by enabling new high performance Python* optimizations with IntelR Distribution for Python* and IntelR Data Analytics Acceleration Library (IntelR DAAL)
• Stay up to date with the latest standards and integrated development environments (IDE):
  • Full C++14 and expanded C++ 2017
  • Full Fortran 2008 and partial Fortran 2018
  • Python 2.7 and 3.6
  • Full OpenMP 4.5 and initial OpenMP 5.0 draft
  • Microsoft Visual Studio* 2017 integration

Flexibility for Your Needs

• Experience a new, more intuitive user interface and enhanced roofline analysis in IntelR VTune? Amplifier. Run longer high-level performance analysis with the preview of Platform Profiler.
• Visualize parallelism using the rapid visual prototyping environment in the Flow Graph Analyzer component of IntelR Advisor. Use it to interactively build, validate, and visualize parallel algorithms.
• Accelerate data analysis and scientific computing with IntelR Distribution for Python*, now integrated into IntelR Parallel Studio XE.
• Access the latest IntelR Performance Libraries and Intel Distribution for Python via conda*, pip*, DockerHub*, APT GET, and YUM.

Technical compute developers: HPC software developers, domain specialists, students, and educators.

Enterprise and cloud application developers: Software developers, business analysts, and data analysts.

Code Modernization Workshops

Available in multiple locations worldwide, our free sessions show how to build and optimize parallel code with this suite.

Technical Webinars

Sharpen your development skills to create faster, more reliable applications with these free online sessions.