A company wants to use high-performance computing and artificial intelligence to improve its fraud prevention...

AWS ParallelCluster is a service that allows you to create and manage high-performance computing (HPC) clusters on AWS. It supports multiple schedulers, including AWS Batch, which can run distributed workloads across multiple EC2 instances1.

MPI is a standard for message passing between processes in parallel computing. It provides functions for sending and receiving data, synchronizing processes, and managingcommunication groups2.

By using AWS ParallelCluster and MPI libraries, you can take advantage of the following benefits:

You can easily create and configure HPC clusters that meet your specific requirements, such as instance type, number of nodes, network configuration, and storage options1.

You can leverage the scalability and elasticity of AWS to run large-scale parallel workloads without worrying about provisioning or managing servers1.

You can use MPI libraries to optimize the performance and efficiency of your parallel applications by enabling inter-process communication and data exchange2.

You can choose from a variety of MPI implementations that are compatible with AWS ParallelCluster, such as Open MPI, Intel MPI, and MPICH3.