Welcome to Panua-Pardiso

Pardiso 8.0 Solver Project

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, distributed-memory multiprocessors, NVIDIA's GPUs, and ARM architectures.

Discover More Get a license

How to generate a license.

  1. Create a Panua account here. If you already have an account, log in.
  2. Panua-Pardiso licenses are available for Linux, Windows, and Mac (Intel & Arm).
  3. Follow the instructions to generate the unique fingerprint of your machine, and download the software.
  4. Your license key will arrive by e-mail. Save it without any surrounding whitespace in a file called panua.lic at your home directory.

Panua-Pardiso

Panua-Pardiso 8.0 was released in February 2023. It contains full support of multi-threaded Schur-complement computations, parallel selected inversion, incremental updates, and many others accelerations. Some of the new features have been used, e.g., in the following papers:

Additional publications related to Pardiso are available on the webpage of the research group of Prof. Olaf Schenk, Advanced Computing Laboratory, Institute of Computing, USI Lugano, Switzerland.

Important: Please note that the Intel MKL version of Pardiso is based on our version from 2006 and that a lot of new features and improvements of Pardiso are not available in the Intel MKL library.

Features

Solves unsymmetric, structurally symmetric or symmetric systems, real or complex, positive definite or indefinite, hermitian.

LU decomposition with complete pivoting and extremely fast selected inversion strategies.

Pardiso 8.0 enables you to rapidly and accurately reduce computing time by taking advantage of SMP and MPP parallel processing technology.

Industrial strength - Pardiso 8.0 has been licensed to various leading industrial software vendors such as Dassault, NXP, Siemens, or Formula One racing teams.

NVIDIA GPU support for unsymmetric matrices, very effective for sparse matrices.

Easily integrate Panua-Pardiso as a dynamic or static library.

Benchmarks of Pardiso 8.0

MKL Pardiso vs Pardiso 8.0 performance comparison, NXP semiconductors

MKL Pardiso
Pardiso 8.0

Pardiso 8.0 is benchmarked against Intel MKL Pardiso version 2020 on up to 16 cores on an Intel Xeon E7-4880. The matrices are from NXP's industrial circuit simulator Mica. The plots shows the performance acceleration for the factorization and solution phase against MKL Pardiso.



MKL Pardiso vs Pardiso 8.0 performance comparison, Silvaco circuit simulator

MKL Pardiso
Pardiso 8.0

Pardiso 8.0 is benchmarked against Intel MKL Pardiso version 2020 on up to 32 cores on an Intel Xeon Intel E5-2650 with 2.30GHz architecture. The matrices are from Silvaco industrial circuit simulator. The plots shows the performance acceleration for the factorization and solution phase against MKL Pardiso.



Pardiso 8.0 k-rank update analysis, NXP semiconductor

1 core; y=0.33k
8 cores; y=0.21k
Full factorization

Regression analysis on the k-rank update LU factorization in Pardiso. The scatter plot shows the number of k-rank updates and the corresponding factorization time in milliseconds. The regression analysis cleary demonstates a linear trend both for the single and the multiple core version. The dashed line shows the time for the full factorization.

Usage

Pardiso user guide 8.0 Reference sheet

Examples

C

C++

C++, Schur complement

Fortran

Python

Map of Pardiso users from academic institutions
(Year 2023)