Intel® Fortran Compiler

Build applications that can scale for the future with optimized code designed for Intel® architecture.

Try in the Intel® DevCloud for Free

Develop, run, and optimize your code in this cloud-based development sandbox with 120 days of full access. Access samples or run your own workloads.

Access oneAPI Software

  • Toolkits: Intel® oneAPI Base Toolkit and add-on toolkits for HPC, AI, IoT, and more
  • Tools and Libraries: Intel® oneAPI DPC++ Compiler, Intel® oneAPI Math Kernel Library, Intel® Distribution for Python*, Intel® VTune™ Profiler, Intel® Advisor, and more

Use the Latest Intel® Hardware

  • Intel® Xeon® Scalable processors
  • Intel® Xeon® processors with Intel® Graphics Technology (GPU)
  • Intel® FPGAs

Get Access Now

Download the Toolkit

Intel® Fortran Compilers are included in the Intel® oneAPI HPC Toolkit. Get the toolkit to analyze, optimize, and deliver applications that scale.

Get It Now

See All Toolkits

Customer Testimonials

"Intel Fortran Compiler outperforms GNU Fortran (GFortran) by more than 40 percent when testing various scenarios on the complex Stokes Inversion based on Response functions (SIR) numerical code on Ubuntu Linux*. Numerical results were identical between the two compilers, and saved me precious time and effort."

— Carlos Quintero Noda, doctor of astrophysics; International Top Young Fellow, Japan Aerospace Exploration Agency (JAXA)

"Intel continues to impress me with its Intel Fortran Compiler. Having used various other Fortran compilers, and then switching to Intel® Parallel Studio XE thanks to the Intel® software academic offering, we saw immediate benefits. Our application involves a large number of scientific calculations and computations, and we saw additional performance gains with the Intel Fortran Compiler. The seamless integration of the Intel Fortran Compiler with Microsoft Visual Studio* is worth mentioning and appreciating."

— Dan Geană, professor of Department of Applied Physical Chemistry and Electrochemistry, faculty of Applied Chemistry and Materials Science, University Politehnica of Bucharest

"I am using Intel Fortran Compiler to develop an automated forest cover identification system from digital aerial images forming stereo pairs. This system uses advanced texture and shape analysis to identify and classify the forest cover (species, density, and height) in order to produce forest inventory maps. Stereo matching is used to produce 3D digital canopy models that are subsequently analyzed by the texture and shape classification program. The advantages of Intel Fortran Compiler are:
  • Integration within Microsoft Visual Studio*, thus providing a complete, integrated development environment including a Fortran-aware debugger
  • State-of-the-art optimizations for the latest Intel® processors (Intel® Advanced Vector Extensions instructions, etc.) and automatic parallelization
  • QuickWin library to rapidly build a Windows interface (the image interpretation system uses the QuickWin library)

— Jean Vezina, software developer and forest engineer

"I develop Fortran-based and Linux cluster-based applications and think [the] Intel® Parallel Studio XE Cluster Edition is a great productivity suite. It is full of very useful tools for developers of complex code who want outstanding application performance. The optimization reports from the Intel Fortran Compiler are extremely useful and take advantage of the explicit vectorization compiler features as much as possible. Intel® Math Kernel Library is a great collection of ready-to-use math libraries that speed development and application performance. Productive stuff for developers from Intel. Keep it coming!"

— Alexandre Silva Lopes, senior researcher, Centre for Wind Energy and Atmospheric Flows, University of Porto, Faculty of Engineering

"Intel has done a great job implementing OpenMP 4.0 in the Intel Fortran Compiler of Intel Parallel Studio XE. The standards support is also excellent. I have used OpenMP and the Intel Fortran Compiler in our scientific computing cluster at the University of Alcalá to add parallelism in the computation of an atmospheric radiative transfer calculation. We have reduced the time needed to analyze a scenario from two months to 12 days by implementing OpenMP with the Intel Fortran Compiler. My sincere advice is to try Intel Parallel Studio XE."

— José Alberto Morales de los Ríos Pappa, electronics and software developer for the infrared (IR) camera in the Extreme Universe Space Observatory Onboard Japanese Experiment Module (JEM-EUSO) mission, Math and Physics Department, University of Alcalá

Product and Performance Information


Performance varies by use, configuration and other factors. Learn more at