Skip to content
Snippets Groups Projects
Commit c2902cc9 authored by Jan Siwiec's avatar Jan Siwiec
Browse files

Update intel-parallel-studio-introduction.md

parent 18ee328e
No related branches found
No related tags found
4 merge requests!368Update prace.md to document the change from qprace to qprod as the default...,!367Update prace.md to document the change from qprace to qprod as the default...,!366Update prace.md to document the change from qprace to qprod as the default...,!323extended-acls-storage-section
......@@ -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
......
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment