MPI for Python (mpi4py)

MPI for Python (mpi4py)

MPI for Python
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About

Over the last years, high performance computing has become an affordable resource to many more researchers in the scientific community than ever before. The conjunction of quality open source software and commodity hardware strongly influenced the now widespread popularity of Beowulf class clusters and cluster of workstations. Among many parallel computational models, message-passing has proven to be an effective one. This paradigm is specially suited for (but not limited to) distributed memory architectures and is used in today’s most demanding scientific and engineering application related to modeling, simulation, design, and signal processing. However, portable message-passing parallel programming used to be a nightmare in the past because of the many incompatible options developers were faced to. Fortunately, this situation definitely changed after the MPI Forum released its standard specification.

About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers looking for a Component Library solution

Audience

Component Library solution for DevOps teams

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 2.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MPI for Python
mpi4py.readthedocs.io/en/stable/

Company Information

NumPy
numpy.org

Alternatives

Alternatives

h5py

h5py

HDF5

Categories

Categories

Integrations

3LC
Avanzai
Coiled
Cython
Dash
Flower
Gensim
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
Python
Spyder
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

Integrations

3LC
Avanzai
Coiled
Cython
Dash
Flower
Gensim
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
Python
Spyder
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn
Claim MPI for Python (mpi4py) and update features and information
Claim MPI for Python (mpi4py) and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information