M

MPI

Template Numerical Library https://tnl-project.org/

This aims to be an wrapper to C-MPI3 for C++, using the principles of simplicity, STL, RAII and Boost and enforcing type-safety.

ScaLAPACK for Python (scalapy) provides a high-level Python interface to distributed dense linear algebra using MPI, BLACS, and ScaLAPACK. It enables efficient computation on large matrices using a block-cyclic distribution, while exposing a NumPy-like API based on the DistributedMatrix abstraction.

This fork modernizes and stabilizes the original scalapy project with: • Support for Python 3.x on modern Linux systems • Clean MPI + ScaLAPACK detection (OpenMPI + Netlib ScaLAPACK) • Reproducible builds using a known-good NumPy / Cython / mpi4py stack • Documentation, examples, and automated tests • High-level wrappers for SVD, QR, LU, Cholesky, eigenproblems, and DMD workflows • Efficient distributed transposes via the new p?lapv2 wrapper

The project makes it possible to write dense parallel linear-algebra pipelines in Python while executing BLAS/PBLAS/ScaLAPACK kernels across an MPI communicator.

Set of Feature Selection Tools that make use of parallel environments through CUDA, MPI and Threads

Simple Van der Waals gas simulation program written in Fortran. Includes a serial code version and a version parallelized using OpenMPI.

Cartes Anki des cours de MPI.

Standard Template Adaptive Parallel Library: https://parasollab.web.illinois.edu/research/stapl/

Parallelisation components for FAME-Core

Provides api for fame parallelisation with MPI

[Python] The project focuses on parallelizing the sequential implementation of K nearest neighbors (kNN) algorithm - a basic supervised learning algorithm in Machine Learning, together with evaluating its performance based on some benchmark metrics.

Python demo for writing image series to HDF5 with parallel h5py.

Prácticas de la asignatura "Programación Concurrente y Distribuida". Curso 2019/20 - Universidad de Murcia.

Розробка паралельних обчислень алгоритму: Алгоритм підсумовування ряду чисел та обчислення його добутку

Разработка параллельных вычислений алгоритма: Алгоритм суммирования ряда чисел и вычисление его произведения

Find the shortest paths in a graph.

An OpenMP and MPI project containing self-made notes, links to available tutorials and blogs, and codes that cover topics related to vectorization (OpenMP SIMD), multithreading (OpenMP), and MPI using Intel, GCC, or LLVM compilers.

Python program measure with Hamming Distance.

Calculate the Dice falls rate with mpi4py.

Calculate the Pi number.