MPI for Python (mpi4py)

MPI for Python (mpi4py)

MPI for Python
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About

AWS Parallel Computing Service (AWS PCS) is a managed service that simplifies running and scaling high-performance computing workloads and building scientific and engineering models on AWS using Slurm. It enables the creation of complete, elastic environments that integrate computing, storage, networking, and visualization tools, allowing users to focus on research and innovation without the burden of infrastructure management. AWS PCS offers managed updates and built-in observability features, enhancing cluster operations and maintenance. Users can build and deploy scalable, reliable, and secure HPC clusters through the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. The service supports various use cases, including tightly coupled workloads like computer-aided engineering, high-throughput computing such as genomics analysis, accelerated computing with GPUs, and custom silicon like AWS Trainium and AWS Inferentia.

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

Companies and teams requiring a solution to run HPC workloads at virtually any 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

$0.5977 per hour
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 5.0 / 5
ease 2.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/pcs/

Company Information

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

Alternatives

Alternatives

AWS HPC

AWS HPC

Amazon
TrinityX

TrinityX

Cluster Vision

Categories

HPC

Categories

Integrations

AWS Command Line Interface (CLI)
AWS HPC
AWS Inferentia
AWS ParallelCluster
AWS Trainium
Amazon Web Services (AWS)
C
C++
Fortran
NumPy
Python
Slurm

Integrations

AWS Command Line Interface (CLI)
AWS HPC
AWS Inferentia
AWS ParallelCluster
AWS Trainium
Amazon Web Services (AWS)
C
C++
Fortran
NumPy
Python
Slurm
Claim AWS Parallel Computing Service and update features and information
Claim AWS Parallel Computing Service 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