Using MKL, the Intel Math Kernel Library (v11.0.0.079) - ICHEC

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$Using MKL, the Intel Math Kernel Library (v10.2.1.017) - ICHEC$

•Interface LayerThis layer provides matching between the compiled code of an application and the threading/computationalcomponents of the library. This layer:•provides an LP64 interface.•access to MKL ILP64.•deals with the way in which different compilers return function values.•a way to map single precision names to double precision names in applications that employ ILP64programming model (e.g. Cray-style naming).Interface Layer Librarieslibmkl_intel_lp64 libmkl_intel_ilp64 libmkl_gf_lp64 libmkl_gf_ilp64 libmkl_intel_sp2dp•Threading LayerThis layer helps the threaded MKL to co-operate with compiler level threading. This also provides thesequential version layer.Threading Layer Librarieslibmkl_intel_thread libmkl_gnu_thread libmkl_pgi_thread libmkl_sequential•Computational LayerThis is the heart of MKL and has only one variant for any processor/operating system family, Thecomputational layer accommodates multiple architectures through identification of the architecture orarchitectural feature and chooses the appropriate binary code at execution. Intel MKL may be thought of asthe large computational layer that is unaffected by different computational environments. Then, as it has noRTL requirements, RTLs refer not to the computational layer but to one of the layers above it: the Interfacelayer or Threading layer. The most likely case is matching the threading layer with the RTL layer.Computational Layer Librarieslibmkl_avx libmkl_core libmkl_def libmkl_mc/mc3 libmkl_scalapack_lp64/ilp64libmkl_vml_def/p4n/mc/mc2/mc3/avx/cmptlibmkl_cdft_core2
•Run-Time Library LayerThis layer has run-time library support functions. For example, libiomp and libguide are run-time librariesproviding threading support for the OpenMP threading in Intel MKL. In addition to the Intel compiler, itprovides support for one more threading compiler on Linux OS (GNU). Note that when using the libiompyou should also link against the POSIX threads library by appending -lpthread.In addition to the libraries provided through the layered model you have the Fortran 90/95 interfaces andcluster components. Each of them fits in the computational or RTL layer.Run-Time Layer Librarieslibiomp5Fortran 90/95 Interfaceslibmkl_lapack95_lp64libmkl_blas95_lp64libmkl_lapack95_ilp64libmkl_blas95_ilp64Cluster Componentslibmkl_blacs_intelmpi_lp64libmkl_blacs_openmpi_lp64libmkl_blacs_sgimpt_lp64libmkl_scalapack_lp64libmkl_blacs_lp64libmkl_blacs_intelmpi_ilp64libmkl_blacs_openmpi_ilp64libmkl_blacs_sgimpt_ilp64libmkl_scalapack_ilp64libmkl_blacs_ilp64libmkl_cdft_coreFFT Interfaceslibfftw2x_cdft_DOUBLE/SINGLE libfftw2xc_intel/intel_sp libfftw2xf_intel/intel_splibfftw3x_cdft/cdft_sp libfftw3xc_intel/intel_sp libfftw3xf_intel/intel_spLP64and ILP64LP64 stands for long and pointer as 64 bit types and ILP64 stands for int, long and pointer as 64 bittypes. To operate on large data arrays (of more than 231-1 elements), you need to select the ILP64interface, where integers are 64-bit; otherwise, use the default, LP64, interface, where integers are 32-bit.3
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Using MKL, the Intel Math Kernel Library (v11.0.0.079) - ICHEC

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