Choosing the right compute orchestration tool for your research workload
HPC Blog
This article provides a comprehensive overview of various AWS compute orchestration tools and their suitability for different research workloads.
Specifically, the article covers:
- AWS ParallelCluster for classic HPC clusters with tightly coupled workloads
- AWS Batch for container-based, highly parallel jobs
- Amazon SageMaker for machine learning projects and Jupyter Notebooks
- Amazon Lightsail for Research for individual cloud desktops
- Research and Engineering Studio on AWS for managing cloud desktops at scale
- AWS HealthOmics for bioinformatics and genomic data analysis
- Leveraging serverless technologies like AWS Lambda and AWS Step Functions for distributed, asynchronous workloads
- The importance of understanding your workload requirements and choosing the right tool accordingly
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