The release of PARDISO* 4.0 from the University of Basel (UB) is not backward compatible with PARDISO from the Intel® MKL 10.3 and earlier and thus introduces some incompatibilities with the implementation of PARDISO that is available with the Intel® MKL
Intel(R) MKL
dgelsd returns the error when is running on AMD processor
dgelsd returns the error message when it is running on AMD processor(model name : AMD Opteron™ Processor 250)
Intel® MKL and C++ template libraries
There are a few existing open source C++ template libraries that can be linked with Intel® MKL. Please refer to the documentation placed on the web-pages of the C++ libraries. Feel free to choose the package that mostly fits your needs and/or C++ style.
Some more additional tips "How to call MKL from your C# code"
In this paper we consider in detail access to native dlls from the C# applications.
MKL performance degradation on SGI ALtix UV system with Nehalem EX processor
MKL performance degradation on SGI ALtix UV system with Nechalem-EX processor
Version of Intel® MKL compatible with /SAFESEH
Version of Intel® MKL is compatible with /SAFESEH since the version of the Intel MKL 10.3. Update2
New matrix vector product BLAS routines
Starting with the version 10.3, Intel® MKL provides BLAS Level 2 routines for computing two matrix-vector products for a dense matrix.
Some service functions have become obsolete and will be removed in subsequent releases.
Intel® MKL, Service functions, MKLGetVersion, MKLGetVersionString,FreeBuffers,MKL_MemStat,getcpuclocks
PARDISO new feature ( store and load handle on HDD ) – open discussion
Intel® MKL Team is working on the new functionality in PARDISO and we are considering several versions of interfaces to handle this feature.
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