AWS HPC Blog
Author: Sai Sharanya Nalla
Sai Sharanya Nalla is a Data Scientist at AWS Professional Services. She works with customers to develop and implement AI and ML solutions on AWS. In her spare time, she enjoys listening to podcasts and audiobooks, long walks, and engaging in outreach activities.
Optimize your Monte Carlo simulations using AWS Batch
Introduction Monte Carlo methods are a class of methods based on the idea of sampling to study mathematical problems for which analytical solutions may be unavailable. The basic idea is to create samples through repeated simulations that can be used to derive approximations about a quantity we’re interested in, and its probability distribution. In this […]
Scalable and Cost-Effective Batch Processing for ML workloads with AWS Batch and Amazon FSx
Batch processing is a common need across varied machine learning use cases such as video production, financial modeling, drug discovery, or genomic research. The elasticity of the cloud provides efficient ways to scale and simplify batch processing workloads while cutting costs. In this post, you’ll learn a scalable and cost-effective approach to configure AWS Batch Array jobs to process datasets that are stored on Amazon S3 and presented to compute instances with Amazon FSx for Lustre.