Intel(R) - Computational and Systems Biology at MIT

More documents

Recommendations

Info

7 Intel® Math Kernel Library User’s GuideTable 7-1Interface libraries and modules (continued)File namelibfftw2xf_intel.alibfftw2xf_gnu.alibfftw3xc_intel.alibfftw3xc_gnu.alibfftw3xf_intel.alibfftw3xf_gnu.alibfftw2x_cdft_SINGLE.alibfftw2x_cdft_DOUBLE.amkl95_blas.modmkl95_lapack.modmkl95_precision.modCommentContains interfaces for FFTW version 2.x (Fortraninterface for Intel compiler) to call Intel MKL FFTs.Contains interfaces for FFTW version 2.x (Fortraninterface for GNU compiler) to call Intel MKL FFTs.Contains interfaces for FFTW version 3.x (C interface forIntel compiler) to call Intel MKL FFTs.Contains interfaces for FFTW version 3.x (C interface forGNU compiler) to call Intel MKL FFTs.Contains interfaces for FFTW version 3.x (Fortraninterface for Intel compiler) to call Intel MKL FFTs.Contains interfaces for FFTW version 3.x (Fortraninterface for GNU compiler) to call Intel MKL FFTs.Contains single-precision interfaces for MPI FFTW version2.x (C interface) to call Intel MKL cluster FFTs.Contains double-precision interfaces for MPI FFTWversion 2.x (C interface) to call Intel MKL cluster FFTs.Contains Fortran 90 interface module for BLAS (BLAS95)Contains Fortran 90 interface module for LAPACK(LAPACK95)Contains Fortran 90 definition of precision parameters forBLAS95 and LAPACK95Section “Fortran 90 Interfaces and Wrappers to LAPACK and BLAS” shows by example howthese libraries and modules are generated.Fortran 90 Interfaces and Wrappers to LAPACK and BLASFortran 90 interfaces are provided for pure procedures and along with wrappers aredelivered as sources. (For more information, see Compiler-dependent Functions andFortran 90 Modules). The simplest way to use them is building corresponding libraries andlinking them as user's libraries. To do this, you must have administrator rights. Providedthe product directory is open for writing, the procedure is simple:1. Go to the respective directory mkl/10.0.xxx/interfaces/blas95 ormkl/10.0.xxx/interfaces/lapack95where xxx is the Intel MKL package number, for example, "039"2. Type one of the following commands:make PLAT=lnx32 lib - for IA-32 architecturemake PLAT=lnx32e lib - for Intel® 64 architecturemake PLAT=lnx64 lib - for IA-64 architecture.7-2
Language-specific Usage Options 7As a result, the required library and a respective .mod file will be built and installed in thestandard catalog of the release.The .mod files can also be obtained from files of interfaces using the compiler commandifort -c mkl_lapack.f90 or ifort -c mkl_blas.f90.These files are in the include directory.If you do not have administrator rights, then do the following:1. Copy the entire directory (mkl/10.0.xxx/interfaces/blas95 ormkl/10.0.xxx/interfaces/lapack95) into a user-defined directory 2. Copy the corresponding file (mkl_blas.f90 or mkl_lapack.f90) frommkl/10.0.xxx/include into the user-defined directory /blas95 or/lapack95 respectively3. Run one of the above make commands in /blas95 or/lapack95 with an additional variable, for instance:make PLAT=lnx32 INTERFACE=mkl_blas.f90 libmake PLAT=lnx32 INTERFACE=mkl_lapack.f90 libNow the required library and the .mod file will be built and installed in the/blas95 or /lapack95 directory, respectively.By default, the ifort compiler is assumed. You may change it with an additional parameterof make: FC=.For instance,make PLAT=lnx64 FC= libThere is also a way to use the interfaces without building the libraries.To delete the library from the building directory, use the following commands:make PLAT=lnx32 cleanmake PLAT=lnx32e cleanmake PLAT=lnx64 clean- for IA-32 architecture- for Intel® 64 architecture- for IA-64 architecture.Compiler-dependent Functions and Fortran 90 ModulesCompiler-dependent functions arise whenever the compiler places into the object codefunction calls that are resolved in its run-time library (RTL). Linking of such code withoutthe appropriate RTL will result in undefined symbols. MKL has been designed to minimizeRTL dependencies.Where the dependencies do arise, supporting RTL is shipped with Intel MKL. The onlyexample of such RTLs, except those that are relevant to the Intel MKL cluster software, arelibguide and libiomp, which are the libraries for the OpenMP* code compiled with anIntel® compiler. libguide and libiomp support the threaded code in Intel MKL.7-3
Page 3 and 4:
INFORMATION IN THIS DOCUMENT IS PRO
Page 7 and 8:
Intel® Math Kernel Library User’
Page 9 and 10:
Overview 1Intel® Math Kernel Libra
Page 11 and 12:
Overview 1Chapter 3Chapter 4Chapter
Page 13 and 14:
Getting Started 2This chapter helps
Page 16 and 17:
2 Intel® Math Kernel Library User
Page 18 and 19:
Page 20 and 21:
Page 22 and 23:
Page 24 and 25: 3 Intel® Math Kernel Library User
Page 38 and 39: Configuring YourDevelopment Environ
Page 40 and 41: Configuring Your Development Enviro
Page 42 and 43: Configuring Your Development Enviro
Page 94 and 95: LINPACK and MP LINPACKBenchmarks 10
Page 96 and 97: LINPACK and MP LINPACK Benchmarks 1
Page 106 and 107: A Intel® Math Kernel Library User
Page 108 and 109: IndexAAbsoft compiler, linking with
Page 110: Intel MKL choice, particular cases,
show all

Intel(R) - Computational and Systems Biology at MIT

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?