This course will describe widely used open-source mathematical
libraries that are available at ARSC. They can deliver performance,
functionalities, support and adaptativity that is often on par if not
exceeding similar offerings from supercomputer vendors.
The specific libraries to be discussed are:
ARPACK is a package for eigen-value computations that uses reverse
communication approach to solve sparse eigen-value computations on
sequential or parallel distributed platform.
SuperLU is a package LU factorization for sparse matrices available in
sequential, threaded and parallel versions.
ATLAS is a self-tuning library that implements Basic Linear Algebra
Subroutines (BLAS) and a portion of LAPACK.
PETSc solves PDE's and ODE's in parallel.
FFTW is a library that can greatly enhance various Fourier-type transforms
on discrete data.
Target Audience: This course is geared toward application developers and
support staff responsible for assisting application developers.
Other Training Events | ARSC Home
Arctic Region Supercomputing Center
PO Box 756020, Fairbanks, AK 99775 | voice: 907-450-8600 | email:
home | search | about | support | news | science | resources