A solutions architect needs to host a high performance computing (HPC) workload in the AWS Cloud. The workload will run on hundreds of Amazon EC2 instances and will require parallel access to a shared file system to enable distributed processing of large datasets. Datasets will be accessed across multiple instances simultaneously. The workload requires access latency within 1 ms. After processing has completed, engineers will need access to the dataset for manual postprocessing. Which solution will meet these requirements?

• AUse Amazon Elastic File System (Amazon EFS) as a shared file system. Access the dataset from Amazon EFS.
• BMount an Amazon S3 bucket to serve as the shared file system. Perform postprocessing directly from the S3 bucket.
• CUse Amazon FSx for Lustre as a shared file system. Link the file system to an Amazon S3 bucket for postprocessing.
• DConfigure AWS Resource Access Manager to share an Amazon S3 bucket so that it can be mounted to all instances for processing and postprocessing.