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Description

AWS Parallel Computing Service (AWS PCS) is a fully managed service designed to facilitate the execution and scaling of high-performance computing tasks while also aiding in the development of scientific and engineering models using Slurm on AWS. This service allows users to create comprehensive and adaptable environments that seamlessly combine computing, storage, networking, and visualization tools, enabling them to concentrate on their research and innovative projects without the hassle of managing the underlying infrastructure. With features like automated updates and integrated observability, AWS PCS significantly improves the operations and upkeep of computing clusters. Users can easily construct and launch scalable, dependable, and secure HPC clusters via the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. The versatility of the service supports a wide range of applications, including tightly coupled workloads such as computer-aided engineering, high-throughput computing for tasks like genomics analysis, GPU-accelerated computing, and specialized silicon solutions like AWS Trainium and AWS Inferentia. Overall, AWS PCS empowers researchers and engineers to harness advanced computing capabilities without needing to worry about the complexities of infrastructure setup and maintenance.

Description

In recent years, high-performance computing has become a more accessible resource for a greater number of researchers within the scientific community than ever before. The combination of quality open-source software and affordable hardware has significantly contributed to the widespread adoption of Beowulf class clusters and clusters of workstations. Among various parallel computational approaches, message-passing has emerged as a particularly effective model. This paradigm is particularly well-suited for distributed memory architectures and is extensively utilized in today's most demanding scientific and engineering applications related to modeling, simulation, design, and signal processing. Nonetheless, the landscape of portable message-passing parallel programming was once fraught with challenges due to the numerous incompatible options developers faced. Thankfully, this situation has dramatically improved since the MPI Forum introduced its standard specification, which has streamlined the process for developers. As a result, researchers can now focus more on their scientific inquiries rather than grappling with programming complexities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

Pricing Details

$0.5977 per hour
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/pcs/

Vendor Details

Company Name

MPI for Python

Website

mpi4py.readthedocs.io/en/stable/

Product Features

HPC

Product Features

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