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Python bindings for MUMPS, a parallel sparse direct solver

Project Description

Requirements

Getting Started

Install using python setup.py install or run from the local checkout.

Examples

Centralized input & output. The sparse matrix and right hand side are input only on the rank 0 process. The system is solved using all available processes and the result is available on the rank 0 process.

from mumps import DMumpsContext
ctx = DMumpsContext()
if ctx.myid == 0:
    ctx.set_centralized_sparse(A)
    x = b.copy()
    ctx.set_rhs(x) # Modified in place
ctx.run(job=6) # Analysis + Factorization + Solve
ctx.destroy() # Cleanup

Re-use symbolic or numeric factorizations.

from mumps import DMumpsContext
ctx = DMumpsContext()
if ctx.myid == 0:
    ctx.set_centralized_assembled_rows_cols(A.row+1, A.col+1) # 1-based
ctx.run(job=1) # Analysis

if ctx.myid == 0:
    ctx.set_centralized_assembled_values(A.data)
ctx.run(job=2) # Factorization

if ctx.myid == 0:
    x = b1.copy()
    ctx.set_rhs(x)
ctx.run(job=3) # Solve

# Reuse factorizations by running `job=3` with new right hand sides
# or analyses by supplying new values and running `job=2` to repeat
# the factorization process.
Release History

Release History

This version
History Node

0.1

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
PyMUMPS-0.1.tar.gz (97.0 kB) Copy SHA256 Checksum SHA256 Source Apr 8, 2013

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