Scalable Cryo-EM on AWS Parallel Computing Service (PCS)
HPC Blog
This article discusses how to run Cryo-EM (Cryogenic Electron Microscopy) research workflows using AWS Parallel Computing Service (PCS), providing a comprehensive guide for scientific researchers.
- Implements a scalable architecture for processing large Cryo-EM datasets using AWS cloud resources
- Uses CryoSPARC as the primary processing application, installed on a shared file system
- Creates multiple compute node groups with different instance types (CPU and GPU)
- Configures Slurm scheduler with custom queues for different computational needs
- Provides step-by-step instructions for cluster setup, software installation, and job submission
The guide demonstrates how AWS PCS can simplify high-performance computing infrastructure for scientific research, offering scalable, flexible, and efficient computing resources for Cryo-EM data processing.
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