AWS Open Source Blog
Category: AWS ParallelCluster
AWS ParallelCluster post-install: EnginFrame and DCV Session Manager Broker
With the newest tools and services provided by AWS, such as AWS ParallelCluster, you can set up a fully functional high-performance computing (HPC) cluster in minutes. ParallelCluster not only simplifies the process of setting up and running technical and scientific applications, it also takes advantage of the power, scale, and flexibility of the cloud and […]
Remote visualization in HPC using NICE DCV with ParallelCluster
NICE DCV is an AWS-owned high performance remote display protocol, which specializes in 2D/3D interactive streaming over the internet or a local network (e.g., WiFi). With the power of NICE DCV we can seamlessly connect to our remote session running either in the cloud or data center via internet from a local laptop. We can […]
Managing AWS ParallelCluster SSH users with AWS OpsWorks
In a previous article, we highlighted the potential for deploying a local LDAP server to provide a mechanism for managing a multi-user AWS ParallelCluster deployment with low administrator overhead. If we want our cluster users to access or manage other AWS resources, it’s preferable to control their access via AWS Identity and Access Management (IAM). […]
Using multiple queues and instance types in AWS ParallelCluster 2.9
Since its release as an officially supported AWS tool and open source project in November 2018, AWS ParallelCluster has made it simple for high performance computing (HPC) customers to set up easy-to-use environments with compute, storage, job scheduling, and networking in the cloud in one cohesive package. These clusters can cater to a wide variety […]
Managing AWS ParallelCluster SSH users with OpenLDAP
A common request from AWS ParallelCluster users is to have the ability to deploy multiple POSIX user accounts. The wiki on the project GitHub page documents a simple mechanism for achieving this, and a previous blog post, “AWS ParallelCluster with AWS Directory Services Authentication,” documents how to integrate AWS ParallelCluster with AWS Directory Service. However, […]
Deploying an HPC cluster and remote visualization in a single step using AWS ParallelCluster
Since its initial release in November 2018, AWS ParallelCluster (an AWS-supported open source tool) has made it easier and more cost effective for users to manage and deploy HPC clusters in the cloud. Since then, the team has continued to enhance the product with more configuration flexibility and enhancements like built-in support for the Elastic […]
How to run AWS ParallelCluster from AppStream 2.0 and share S3 data
High Performance Computing (HPC) cluster administrators typically need a way to let their users to create HPC clusters quickly and easily from a common Windows desktop, while enforcing security, isolation, scalability, and cost effectiveness. This important step could be part of a wider user workflow, or an established procedure followed by HPC users to start […]
Amazon API Gateway for HPC job submission
AWS ParallelCluster simplifies the creation and the deployment of HPC clusters. Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. In this post we combine AWS ParallelCluster and Amazon API Gateway to allow an HTTP interaction with the scheduler. […]
AWS ParallelCluster with AWS Directory Services Authentication
AWS ParallelCluster simplifies the creation and deployment of HPC clusters. In this post we combine ParallelCluster with AWS Directory Services to create a multi-user, POSIX-compliant system with centralized authentication and automated home directory creation. To grant only the minimum permissions to the nodes in the cluster, no AD configuration parameters or permissions are stored directly […]
Best Practices for Running Ansys Fluent Using AWS ParallelCluster
Using HPC (high performance computing) to solve Computational Fluid Dynamics (CFD) challenges has become common practice. As the growth from HPC workstation to supercomputer has slowed over the last decade or two, compute clusters have increasingly taken the place of single, big SMP (shared memory processing) supercomputers, and have become the ‘new normal’. Another, more […]