Tags : Browse Projects

Select a tag to browse associated projects and drill deeper into the tag cloud.

petsc4py

Compare

  Analyzed about 7 hours ago

PETSc is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It employs the MPI standard for all message-passing communication. petsc4py are Python bindings for PETSc, the Portable, Extensible Toolkit ... [More] for Scientific Computation. A good friend of petsc4py is: mpi4py: Python bindings for MPI, the Message Passing Interface. Other two projects depend on petsc4py: slepc4py: Python bindings for SLEPc, the Scalable Library for Eigenvalue Problem Computations. tao4py: Python bindings for TAO, the Toolkit for Advanced Optimization. [Less]

-16 lines of code

15 current contributors

over 3 years since last commit

5 users on Open Hub

Inactive
5.0
 
I Use This

slepc4py

Compare

  Analyzed 1 day ago

SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial singular value ... [More] decomposition of a large, sparse, rectangular matrix. slepc4py are Python bindings for SLEPc, the Scalable Library for Eigenvalue Problem Computations. This project depends on: petsc4py: Python bindings for PETSc, the Portable, Extensible Toolkit for Scientific Computation. A good friend of slepc4py is: mpi4py: Python bindings for MPI, the Message Passing Interface. A related project is: tao4py: Python bindings for TAO, the Toolkit for Advanced Optimization. [Less]

-17 lines of code

2 current contributors

over 4 years since last commit

3 users on Open Hub

Inactive
5.0
 
I Use This

Parallel Ice Sheet Model (PISM)

Compare

  Analyzed 1 day ago

The Parallel Ice Sheet Model pism0.7 is open source and capable of high resolution. It is widely adopted as a tool for doing science. Features include: * extensible atmospheric/ocean coupling * hybrid shallow stress balance * marine ice sheet physics * polythermal energy conservation * ... [More] subglacial hydrology and till model * complete documentation * parallel simulations using MPI & PETSc * reads and writes CF-compliant NetCDF * inversion toolbox in Python * verification and validation tools [Less]

95.6K lines of code

4 current contributors

3 months since last commit

1 users on Open Hub

Moderate Activity
0.0
 
I Use This

PetIGA

Compare

  No analysis available

A framework for high performance Isogeometric Analysis

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This
Mostly written in language not available
Licenses: bsd_2clau...

tao4py

Compare

  No analysis available

TAO is aimed at the solution of large-scale optimization problems on high-performance architectures. It is suitable for both single-processor and massively-parallel architectures were an implementation of the MPI standard is available. tao4py are Python bindings for TAO, the Toolkit for Advanced ... [More] Optimization. This package depends on: petsc4py: Python bindings for PETSc, the Portable, Extensible Toolkit for Scientific Computation. A good friend of this package is: mpi4py: Python bindings for MPI, the Message Passing Interface. Other related project is: slepc4py: Python bindings for SLEPc, the Scalable Library for Eigenvalue Problem Computations. [Less]

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
I Use This
Mostly written in language not available
Licenses: bsd

Dohp

Compare

  Analyzed 1 day ago

Dohp aims to be a very efficient implementation of the hp-version of the finite element method. It exploits the tensor product structure of nodal bases on hexahedra to significantly reduce the memory requirements and computational cost compared to low-order elements. It uses Q1 elements on the ... [More] nodes of the high-order basis to assemble a preconditioning matrix which is much sparser than Q2 elements. Preliminary results show that memory and solver runtime for arbitrary order (2-10 or so) is half that required by a standard Q2 approximation. Dohp development is primarily focused on scalable solution of indefinite problems such as those found in incompressible flow and PDE-constrained optimization. [Less]

22.7K lines of code

0 current contributors

about 11 years since last commit

0 users on Open Hub

Inactive
0.0
 
I Use This
Tags petsc