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Description
AWS ParallelCluster is a free, open-source tool designed for efficient management and deployment of High-Performance Computing (HPC) clusters within the AWS environment. It streamlines the configuration of essential components such as compute nodes, shared filesystems, and job schedulers, while accommodating various instance types and job submission queues. Users have the flexibility to engage with ParallelCluster using a graphical user interface, command-line interface, or API, which allows for customizable cluster setups and oversight. The tool also works seamlessly with job schedulers like AWS Batch and Slurm, making it easier to transition existing HPC workloads to the cloud with minimal adjustments. Users incur no additional costs for the tool itself, only paying for the AWS resources their applications utilize. With AWS ParallelCluster, users can effectively manage their computing needs through a straightforward text file that allows for the modeling, provisioning, and dynamic scaling of necessary resources in a secure and automated fashion. This ease of use significantly enhances productivity and optimizes resource allocation for various computational tasks.
Description
Create dependable and optimized code that delivers accurate results across various Server and HPC architectures, utilizing the latest compilers and C++ standards tailored for Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU platforms. Arm Forge integrates Arm DDT, a premier debugger designed to streamline the debugging process of high-performance applications, with Arm MAP, a respected performance profiler offering essential optimization insights for both native and Python HPC applications, along with Arm Performance Reports that provide sophisticated reporting features. Both Arm DDT and Arm MAP can also be used as independent products, allowing flexibility in application development. This package ensures efficient Linux Server and HPC development while offering comprehensive technical support from Arm specialists. Arm DDT stands out as the preferred debugger for C++, C, or Fortran applications that are parallel or threaded, whether they run on CPUs or GPUs. With its powerful and user-friendly graphical interface, Arm DDT enables users to swiftly identify memory errors and divergent behaviors at any scale, solidifying its reputation as the leading debugger in the realms of research, industry, and academia, making it an invaluable tool for developers. Additionally, its rich feature set fosters an environment conducive to innovation and performance enhancement.
API Access
Has API
No
API Access
Has API
No
Integrations
Python
Yes
AWS Batch
Yes
AWS EC2 Trn3 Instances
Yes
AWS Elastic Fabric Adapter (EFA)
Yes
AWS HPC
Yes
AWS Lambda
Yes
AWS Parallel Computing Service
Yes
Amazon API Gateway
Yes
Amazon Web Services (AWS)
Yes
Arm MAP
No
Integrations
Python
Yes
AWS Batch
No
AWS EC2 Trn3 Instances
No
AWS Elastic Fabric Adapter (EFA)
No
AWS HPC
No
AWS Lambda
No
AWS Parallel Computing Service
No
Amazon API Gateway
No
Amazon Web Services (AWS)
No
Arm MAP
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/hpc/parallelcluster/
Vendor Details
Company Name
Arm
Country
United Kingdom
Website
www.arm.com/products/development-tools/server-and-hpc/forge