Difference between revisions of "Applications/Scalapack"
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*Module: scalapack/intel/intelmpi/2.0.2 | *Module: scalapack/intel/intelmpi/2.0.2 | ||
*Licence: modified BSD license | *Licence: modified BSD license | ||
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+ | ===Description=== | ||
+ | |||
+ | The ScaLAPACK (or Scalable LAPACK) library includes a subset of LAPACK routines redesigned for distributed memory MIMD parallel computers. It is currently written in a Single-Program-Multiple-Data style using explicit message passing for interprocessor communication. It assumes matrices are laid out in a two-dimensional block cyclic decomposition. | ||
+ | |||
+ | * ScaLAPACK is designed for heterogeneous computing and is portable on any computer that supports MPI. | ||
+ | * ScaLAPACK depends on PBLAS operations in the same way LAPACK depends on BLAS. | ||
+ | |||
==Usage Examples== | ==Usage Examples== | ||
===Module=== | ===Module=== | ||
+ | |||
<pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;"> | <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;"> | ||
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− | + | [@login01 ~]$ interactive | |
+ | salloc: Granted job allocation 3619715 | ||
+ | Job ID 3619715 connecting to c081, please wait... | ||
+ | c081.vc-main | ||
+ | [pysdlb@c081 ~]$ module add scalapack/intel/intelmpi/2.0.2 | ||
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</pre> | </pre> | ||
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Revision as of 09:24, 17 November 2022
Application Details
- Description: A library of high-performance linear algebra routines for parallel distributed memory machines. ScaLAPACK solves dense and banded linear systems, least squares problems, eigenvalue problems, and singular value problems.
- Version: 2.0.2
- Module: scalapack/intel/intelmpi/2.0.2
- Licence: modified BSD license
Description
The ScaLAPACK (or Scalable LAPACK) library includes a subset of LAPACK routines redesigned for distributed memory MIMD parallel computers. It is currently written in a Single-Program-Multiple-Data style using explicit message passing for interprocessor communication. It assumes matrices are laid out in a two-dimensional block cyclic decomposition.
- ScaLAPACK is designed for heterogeneous computing and is portable on any computer that supports MPI.
- ScaLAPACK depends on PBLAS operations in the same way LAPACK depends on BLAS.
Usage Examples
Module
[@login01 ~]$ interactive salloc: Granted job allocation 3619715 Job ID 3619715 connecting to c081, please wait... c081.vc-main [pysdlb@c081 ~]$ module add scalapack/intel/intelmpi/2.0.2