AWS ParallelCluster Integrations

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AWS offers a wide range of services, including database storage, compute power, content delivery, and other functionality. This allows you to build complex applications with greater flexibility, scalability, and reliability. Amazon Web Services (AWS), the world's largest and most widely used cloud platform, offers over 175 fully featured services from more than 150 data centers worldwide. AWS is used by millions of customers, including the fastest-growing startups, large enterprises, and top government agencies, to reduce costs, be more agile, and innovate faster. AWS offers more services and features than any other cloud provider, including infrastructure technologies such as storage and databases, and emerging technologies such as machine learning, artificial intelligence, data lakes, analytics, and the Internet of Things. It is now easier, cheaper, and faster to move your existing apps to the cloud.

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AWS Batch allows scientists, engineers, and developers to run hundreds of thousands upon thousands of batch computing jobs on AWS. AWS Batch dynamically provision the best type and quantity of compute resources (e.g. CPU or memory optimized instances) according to the volume and specific resource needs of batch jobs submitted. AWS Batch eliminates the need to install or manage batch computing software, server clusters, or other hardware. This allows you to concentrate on analysing results and solving problems. AWS Batch schedules, executes and plans your batch computing workloads across all AWS compute services and features such as AWS Fargate and Amazon EC2 to help you analyze results and solve problems. AWS Batch is free. AWS Batch only charges for AWS resources (e.g. You only pay for the AWS resources (e.g. Fargate jobs or EC2 instances) that you use to store and manage your batch jobs.

Slurm Workload Manager (formerly Simple Linux Utility for Resource Management, or SLURM) is a free and open-source cluster management system for Linux-like kernels. It is designed to manage computing jobs on high-performance computing (HPC), high throughput computing environments (HTC), and is used by most supercomputers and computer groups around the world.

Amazon API Gateway is a fully managed service that makes API creation, publishing, maintenance, monitoring, and security easy at any scale. APIs are the "front door" to allow applications to access data, business logic, and functionality from your backend service. API Gateway allows you to create RESTful APIs or WebSocket APIs which enable real-time, two-way communication. API Gateway supports both containerized and serverless workloads as well as web applications. API Gateway handles all tasks associated with accepting and processing hundreds of thousands of concurrent API calls. This includes traffic management, CORS support authorization and access control, traffic management, authorization and throttling as well as monitoring and API version management. API Gateway does not have minimum fees nor startup costs. API Gateway has tiered pricing that allows you to reduce your costs as your API usage grows.

AWS Parallel Computing Service is a managed service which simplifies the running and scaling of high-performance computing workloads, and building scientific and engineering model on AWS with Slurm. It allows users to create complete, elastic environments that integrate storage, networking, computing, and visualization tools. This allows them to focus on their research and innovation, without having to worry about infrastructure management. AWS PCS provides managed updates and integrated observability features to enhance cluster operations and maintenance. Users can deploy HPC clusters that are scalable, secure, and reliable using the AWS Management Console (AWS CLI), AWS SDK, or AWS Command Line Interface. The service supports a variety of use cases including tightly coupled workloads such as computer-aided design, high-throughput computations like genomics analysis, GPU-accelerated computing, and custom silicon, like AWS Trainium or AWS Inferentia.

You can run code without worrying about servers. Only pay for the compute time that you use. AWS Lambda allows you to run code without having to provision or manage servers. You only pay for the compute time that you use. Lambda allows you to run code for any type of backend service or application - and all this with zero administration. Upload your code, and Lambda will take care of scaling your code with high availability. Your code can be set up to trigger automatically from other AWS services, or you can call it directly from any mobile or web app. AWS Lambda runs your code automatically without you having to manage or provision servers. Simply write the code and upload it directly to Lambda. AWS Lambda automatically scales the application by running code according to each trigger. Your code runs in parallel, processing each trigger separately, scaling exactly with the workload.

AWS High Performance Computing services (HPC) enable users to execute large-scale simulators and deep-learning workloads in the cloud. They provide virtually unlimited compute capacity and high-performance file system, as well as high-throughput network. This suite of services accelerates the innovation process by providing a wide range of cloud-based applications, including machine learning, analytics, and rapid design and testing. On-demand access to computing resources maximizes operational efficiency, allowing users the freedom to solve complex problems without the limitations of traditional infrastructure. AWS HPC includes Elastic Fabric Adapter for low-latency and high-bandwidth networks, AWS Batch to scale computing jobs, AWS ParallelCluster to simplify cluster deployment, as well as Amazon FSx, a high-performance file system. These services provide a flexible, scalable environment that is tailored to diverse HPC workloads.

Elastic Fabric Adapter is a network-interface for Amazon EC2 instances. It allows customers to run applications that require high levels of internode communication at scale. Its custom-built OS bypass hardware interface improves the performance of interinstance communications which is crucial for scaling these applications. EFA allows High-Performance Computing applications (HPC) using the Message Passing Interface, (MPI), and Machine Learning applications (ML) using NVIDIA's Collective Communications Library, (NCCL), to scale up to thousands of CPUs and GPUs. You get the performance of HPC clusters on-premises, with the elasticity and flexibility on-demand of AWS. EFA is a free networking feature available on all supported EC2 instances. Plus, EFA works with the most common interfaces, libraries, and APIs for inter-node communication.