Search Results for "mpi"

APPFL (Advanced Privacy-Preserving Federated Learning) is a Python framework enabling researchers to easily build and benchmark privacy-aware federated learning solutions. It supports flexible algorithm development, differential privacy, secure communications, and runs efficiently on HPC and multi-GPU setups.

FFTW++ is a C++ header class for the FFTW Fast Fourier Transform library that automates memory allocation, alignment, planning, wisdom, and communication on both serial and parallel (OpenMP/MPI) architectures. In 2D and 3D, hybrid dealiasing of convolutions substantially reduces memory usage and computation time. Wrappers for C, Python, and Fortran are included.

Computational electromagnetics software. Uses surface Method of Moments, enhanced by using the Multilevel Fast Multipole Method. Code is parallelized and runs on laptops, desktops and clusters. The code precision is adjustable, it is fast and uses little memory. CFIE is used for closed surfaces, and EFIE for open PEC surfaces. Can function on GMSH, GiD and ANSYS meshes.

DAE Tools is a cross-platform equation-based object-oriented modelling, simulation and optimisation software. It is not a modelling language nor a collection of numerical libraries but rather a higher level structure – an architectural design of interdependent software components providing an API for: - Model development/specification - Activities on developed models, such as simulation, optimisation, sensitivity analysis and parameter estimation - Processing of the results, such as...

We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and...

GMES is a free finite-difference time-domain (FDTD) simulation Python package developed at GIST to model photonic devices. Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions. GMES officially stands for GIST Maxwell’s Equations Solver.

memP is a parallel heap profiling library based on the mpiP MPI profiling tool. The intent of memP is to identify the heap allocation that causes a task to reach its memory in use high water mark for each task in a parallel job.

mpiP is a lightweight profiling library for MPI applications.

...DrImage) image manipulation on the Matematica filters. The program is intended to use as less as possible external libs (optional: openGL, gsl, fftw, cgal, png, tiff, boost, MPI, Qt...).

Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru

Pypar is an efficient but easy-to-use module that allows programs written in Python to run in parallel on multiple processors and communicate using MPI. Pypar development has moved to http://code.google.com/p/pypar/

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.

nVidia CUDA and MPI python wrappers. These wrappers are written in pure C no swig or boost necessary. The CUDA wrapper exposes the CUDA runtime and Driver API's.

Repository of python interfaces to major scientific libraries, like HDF, netCDF and MPI. The interfaces are based on SWIG or PyRex, and should be portable to most Linux/Unix platforms.

A project to distributed phylogenies into a MPI Cluster.

PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.

PyPNetCDF is a Numeric-based Python package that allows read and/or write to NetCDF file in a parallel environment using MPI and an interface created to PnetCDF library. The objects are very similar to Konrad Hinsen's definitions but in a parallel way.

Object Oriented Python bindings for the Message Passing Interface (MPI)

pympy offers a Python package compatible with most popular MPI (Message Passing Interface) libraries. It gives a Python program an almost complete access to the MPI standard v1.2, supporting MPI native datatypes, plus python objects and numeric arrays.

Maui Scheduler is an advanced reservation HPC parallel batch scheduler for use with Linux and BSD clusters. Maui provides a complete scientific scheduling solution, supporting running custom parallel and MPI jobs over Myrinet and ethernet.

MPY is an MPI implementation for Python using MPICH (or any other MPI implementation). MPY also provides helper functions for ease of programming, and a simple plug-in interface.