PARDISO 6.0 Solver Project (May 2018)

The package PARDISO is a thread-safe, high-performance, robust, memory efficient and easy to use software for solving large sparse symmetric and unsymmetric linear systems of equations on shared-memory and distributed-memory multiprocessors.


The PARDISO Version 6.0 was released in May 2018. It contains full support of multi-threaded Schur-complement computations and full support for parallel selected inversion. The new features are described in the following papers:



Additional Downloads



In some BLAS libraries the Fortran routine xerbla.f or the C routine xerbla.c are not included. However, the BLAS routine xerbla must link to I/O routines, which are compiler dependent. Thus, we provide the implementation, which you can compile and link in a compiler dependent fashion.

Binaries / Libraries

Current Available Libraries

Version 6.0 (Architecture x86-64, 64-bit)

Compiler Operating System PARDISO Libraries
gcc/gfortran 7.2.0 Linux
gcc/gfortran 8.0 Linux
gcc/gfortran 8.1.0 MAC OSX 10.13.4 High Sierra libpardiso600-MACOS-X86-64.dylib
Intel compiler, Windows (including optimzed BLAS) Windows libpardiso600-WIN-X86-64.dll, libpardiso600-WIN-X86-64.lib, libpardiso600-WIN-X86-64.exp
GNU compiler (MinGW) Windows libpardiso600-WIN-X86-64-MINGW.dll

Other libraries can be compiled upon request. Please let us know in case that some of these libraries are not working for you. You can only download the files above if you are a registered user and agreeing to the license conditions.

Matpower Libraries

Ipopt 3.12.9 (extended version), PARDISO 6.0 (threaded version)

You need to set the numbers of threads with, for example, if you would like to use 8 cores you should use export OMP_NUM_THREADS=8 before running ipopt.mexa64 in Matlab.

In addition, you need a PARDISO license file pardiso.lic which can be obtained here.

Architecture Operating System Files
Architecture x86-64, 64-bit, Matlab R2016b Linux ipopt.mexa64, ipopt_auxdata.m, ipopt.opt, examplehs071.m
Architecture x86-64, 64-bit, Matlab R2016b Mac OS X 10.13.4 ipopt.mexmaci64, ipopt_auxdata.m, ipopt.opt, examplehs071.m