MPI for Python (mpi4py)

MPI for Python (mpi4py)

MPI for Python
OpenCL

OpenCL

The Khronos Group
+
+

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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

OpenCL (Open Computing Language) is an open, royalty-free standard for cross-platform parallel programming of heterogeneous computing systems that lets developers accelerate computing tasks by leveraging diverse processors such as CPUs, GPUs, DSPs, and FPGAs across supercomputers, cloud servers, personal computers, mobile devices, and embedded platforms. It defines a programming framework including a C-based language for writing compute kernels and a runtime API to control devices, manage memory, and execute parallel code, giving portable and efficient access to heterogeneous hardware. OpenCL improves speed and responsiveness for a wide range of applications including creative tools, scientific and medical software, vision processing, and neural network training and inferencing by offloading compute-intensive work to accelerator processors.

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

Software developers and engineers building high-performance parallel applications that need portable, cross-platform computing across diverse processors

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

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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

The Khronos Group
Founded: 2000
United States
www.khronos.org

Alternatives

GASP

GASP

AeroSoft

Alternatives

SYCL

SYCL

The Khronos Group
Mojo

Mojo

Modular
oneAPI

oneAPI

Intel
OpenCL

OpenCL

The Khronos Group
NeuroSplit

NeuroSplit

Skymel

Categories

Categories

Integrations

C
C++
Fortran
GitHub
Google
NumPy
Python

Integrations

C
C++
Fortran
GitHub
Google
NumPy
Python
Claim MPI for Python (mpi4py) and update features and information
Claim MPI for Python (mpi4py) and update features and information
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Claim OpenCL and update features and information