MPI for Python (mpi4py)

MPI for Python (mpi4py)

MPI for Python
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About

AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner.

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

IT administrators in need of a solution to deploy HPC clusters on AWS to optimize their data-intensive workloads

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 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/hpc/parallelcluster/

Company Information

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

Alternatives

TrinityX

TrinityX

Cluster Vision

Alternatives

GASP

GASP

AeroSoft
Slurm

Slurm

IBM
HPE Performance Cluster Manager

HPE Performance Cluster Manager

Hewlett Packard Enterprise
Nextflow

Nextflow

Seqera Labs

Categories

Categories

Integrations

Python
AWS Batch
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
AWS Parallel Computing Service
Amazon API Gateway
Amazon Web Services (AWS)
C
C++
Fortran
GitHub
NumPy
Slurm

Integrations

Python
AWS Batch
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
AWS Parallel Computing Service
Amazon API Gateway
Amazon Web Services (AWS)
C
C++
Fortran
GitHub
NumPy
Slurm
Claim AWS ParallelCluster and update features and information
Claim AWS ParallelCluster 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