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# Intel Parallel Studio
The Salomon cluster provides following elements of the Intel Parallel Studio XE
Intel Parallel Studio XE
* Intel Compilers
* Intel Debugger
* Intel MKL Library
* Intel Integrated Performance Primitives Library
* Intel Threading Building Blocks Library
* Intel Trace Analyzer and Collector
* Intel Advisor
* Intel Inspector
## Intel Compilers
The Intel compilers are available, via module intel. The compilers include the icc C and C++ compiler and the ifort fortran 77/90/95 compiler.
```console
$ ml intel
$ icc -v
$ ifort -v
```
Read more at the [Intel Compilers](intel-compilers/) page.
## Intel Debugger
IDB is no longer available since Parallel Studio 2015.
The intel debugger version 13.0 is available, via module intel. The debugger works for applications compiled with C and C++ compiler and the ifort fortran 77/90/95 compiler. The debugger provides java GUI environment.
```console
$ ml intel
$ idb
```
Read more at the [Intel Debugger](intel-debugger/) 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
```
Read more at the [Intel MKL](intel-mkl/) page.
## Intel Integrated Performance Primitives
Intel Integrated Performance Primitives, version 7.1.1, compiled for AVX is available, via module ipp. The 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
```
Read more at the [Intel IPP](intel-integrated-performance-primitives/) page.
## Intel Threading Building Blocks
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
```
Read more at the [Intel TBB](intel-tbb/) page.