From 46bd3bc0f2e5793076753eae12d7104d6e8b1106 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Luk=C3=A1=C5=A1=20Krup=C4=8D=C3=ADk?= <lukas.krupcik@vsb.cz> Date: Mon, 20 Sep 2021 13:59:21 +0200 Subject: [PATCH] Update docs.it4i/software/intel/intel-suite/intel-parallel-studio-introduction.md --- .../intel-parallel-studio-introduction.md | 23 +++++-------------- 1 file changed, 6 insertions(+), 17 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 f3772f6f9..8b38a9145 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 @@ -18,32 +18,21 @@ Intel Parallel Studio XE The Intel compilers are available via the intel module. The compilers include the icc C and C++ compiler and the ifort Fortran 77/90/95 compiler. ```console -$ ml intel +$ ml intel/2020b $ icc -v +icc version 19.1.3.304 (gcc version 10.2.0 compatibility) $ ifort -v +ifort version 19.1.3.304 ``` Read more at the [Intel Compilers][1] page. -## Intel Debugger - -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. - -```console -$ ml intel -$ idb -``` - -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. ```console -$ ml imkl +$ ml imkl/2020.4.304-iimpi-2020b ``` Read more at the [Intel MKL][3] page. @@ -53,7 +42,7 @@ Read more at the [Intel MKL][3] page. 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 +$ ml ipp/2020.3.304 ``` Read more at the [Intel IPP][4] page. @@ -63,7 +52,7 @@ Read more at the [Intel IPP][4] page. Intel Threading Building Blocks (Intel TBB) is a library that supports scalable parallel programming using standard ISO C++ code. It does not require special languages or compilers. It is designed to promote scalable data parallel programming. Additionally, it fully supports nested parallelism, so you can build larger parallel components from smaller parallel components. To use the library, you specify tasks, not threads, and let the library map tasks onto threads in an efficient manner. ```console -$ ml tbb +$ ml tbb/2020.3-GCCcore-10.2.0 ``` Read more at the [Intel TBB][5] page. -- GitLab