From c2902cc9c3fe030c05ee0bd30c6e8fe6ee1a3dc2 Mon Sep 17 00:00:00 2001 From: Jan Siwiec <jan.siwiec@vsb.cz> Date: Thu, 16 Apr 2020 11:16:41 +0200 Subject: [PATCH] Update intel-parallel-studio-introduction.md --- .../intel/intel-suite/intel-parallel-studio-introduction.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs.it4i/software/intel/intel-suite/intel-parallel-studio-introduction.md b/docs.it4i/software/intel/intel-suite/intel-parallel-studio-introduction.md index faaeb5551..f3772f6f9 100644 --- a/docs.it4i/software/intel/intel-suite/intel-parallel-studio-introduction.md +++ b/docs.it4i/software/intel/intel-suite/intel-parallel-studio-introduction.md @@ -29,7 +29,7 @@ Read more at the [Intel Compilers][1] page. IDB is no longer available since Parallel Studio 2015. -The Intel debugger version 13.0 is available via the intel module. The debugger works for applications compiled with the C and C++ compiler and the ifort Fortran 77/90/95 compiler. The debugger provides a Java GUI environment. +The Intel debugger version 13.0 is available via the `intel` module. The debugger works for applications compiled with the C and C++ compiler and the ifort Fortran 77/90/95 compiler. The debugger provides a Java GUI environment. ```console $ ml intel @@ -40,7 +40,7 @@ Read more at the [Intel Debugger][2] page. ## Intel Math Kernel Library -Intel Math Kernel Library (Intel MKL) is a library of math kernel subroutines, extensively threaded and optimized for maximum performance. Intel MKL unites and provides these basic components: BLAS, LAPACK, ScaLapack, PARDISO, FFT, VML, VSL, Data fitting, Feast Eigensolver and many more. +Intel Math Kernel Library (Intel MKL) is a library of math kernel subroutines, extensively threaded and optimized for maximum performance. Intel MKL unites and provides these basic components: BLAS, LAPACK, ScaLapack, PARDISO, FFT, VML, VSL, Data fitting, Feast Eigensolver, and many more. ```console $ ml imkl @@ -50,7 +50,7 @@ Read more at the [Intel MKL][3] page. ## Intel Integrated Performance Primitives -Intel Integrated Performance Primitives, version 7.1.1, compiled for AVX is available via the ipp module. IPP is a library of highly optimized algorithmic building blocks for media and data applications. This includes signal, image, and frame processing algorithms, such as FFT, FIR, Convolution, Optical Flow, Hough transform, Sum, MinMax, and many more. +Intel Integrated Performance Primitives, version 7.1.1, compiled for AVX is available via the `ipp` module. IPP is a library of highly optimized algorithmic building blocks for media and data applications. This includes signal, image, and frame processing algorithms, such as FFT, FIR, Convolution, Optical Flow, Hough transform, Sum, MinMax, and many more. ```console $ ml ipp -- GitLab