ScaLAPACK (Scalable LAPACK) is a linear algebra library for parallel computers. Routines are available to diagonalize or solve dense and narrow band systems of linear equations.

ScaLAPACK implements block-oriented LAPACK linear algebra routines, adding a special set of communication routines to copy blocks of data between processors as required. Similar to LAPACK, a single subroutine call typically carries out the necessary computations.

ScaLAPACK installations include the following libraries: scalapack, redist, pblas, tools, blacs, blacsCinit, and blacsF77init.



An meeting with Professor Choi J.

I finally met Prof. Choi J. which a member of ScaLAPACK team on the 23th of June, 2008 and, He agreed to teach me some advanced topics in mathematics. I have been hearing about him for quite a long time.

Lastly, I heard that the Hama is worthwhile to continue the research on the basis of the ScaLAPACK’s ideas.

Some Performance Report

RScaLAPACK

Note that the following result is based on an internal, rudimentary experiment.

dimension

solve

sla.solve (t=32)

5000

real 9m2.438s, user 9m0.473s, sys 0m1.649s

real 1m55.863s, user 0m10.638s, sys 0m2.621s

10000

x

x

15000

Doesn't Work

Doesn't Work

ScaLAPACK (last edited 2009-09-20 21:45:52 by localhost)