MPI for Python (mpi4py)

MPI for Python (mpi4py)

MPI for Python
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About

Dask is open source and freely available. It is developed in coordination with other community projects like NumPy, pandas, and scikit-learn. Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage. Dask exposes lower-level APIs letting you build custom systems for in-house applications. This helps open source leaders parallelize their own packages and helps business leaders scale custom business logic.

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.

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

Enterprises requiring a solution that provides advanced parallelism for analytics, enabling performance at scale

Audience

Developers looking for a Component Library solution

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

No information available.
Free Version
Free Trial

Pricing

Free
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

Dask
Founded: 2019
dask.org

Company Information

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

Alternatives

Alternatives

GASP

GASP

AeroSoft
Ray

Ray

Anyscale
Nextflow

Nextflow

Seqera Labs

Categories

Categories

Integrations

Anaconda
C
C++
Coiled
Dagster
Domino Enterprise MLOps Platform
Flyte
Fortran
Google Cloud Platform
Kedro
NVIDIA DIGITS
NumPy
Prefect
Python
Ray
Saturn Cloud
Snorkel AI
Spell
Union Cloud
Union Pandera

Integrations

Anaconda
C
C++
Coiled
Dagster
Domino Enterprise MLOps Platform
Flyte
Fortran
Google Cloud Platform
Kedro
NVIDIA DIGITS
NumPy
Prefect
Python
Ray
Saturn Cloud
Snorkel AI
Spell
Union Cloud
Union Pandera
Claim Dask and update features and information
Claim Dask and update features and information
Claim MPI for Python (mpi4py) and update features and information
Claim MPI for Python (mpi4py) and update features and information