AWS HPC Blog
Tag: Scientific Computing
Building deep learning models for geoscience using MATLAB and NVIDIA GPUs on Amazon EC2 (Part 1 of 2)
In this blog post, we discuss how geoscientists can use shallow RNN-based algorithms with MATLAB to automatically recognize distinct geologic features in seismic images. We discuss the workflow for developing the AI models using MATLAB for seismic interpretation. In a second post will introduce the various compute resources leveraged from AWS and NVIDIA for developing the models.
Analyzing Genomic Data using Amazon Genomics CLI and Amazon SageMaker
In this blog post, we demonstrate how to leverage the AWS Genomics Command line and Amazon SageMaker to analyze large-scale exome sequences and derive meaningful insights. We use the bioinformatics workflow manager Nextflow, it’s open source library of pipelines, NF-Core, and AWS Batch.
Getting Started with NVIDIA Clara Parabricks on AWS Batch using AWS CloudFormation
In this blog post, we’ll show how you can run NVIDIA Parabricks on AWS Batch leveraging AWS CloudFormation templates. Parabricks is a GPU-accelerated tool for secondary genomic analysis. It reduces the runtime of variant calling on a 30x human genome from 30 hours to just 30 minutes, and leverages AWS Batch to provide an interface that scales compute jobs across multiple instances in the cloud.
Call for participation: PRACE Winter School
The Inter University Computing Centre (IUCC) in Israel and AWS have joined forces to train Researchers and Research Software Engineers (RSEs) in the use of AWS for High Performance Computing (HPC) at the PRACE Winter School, 7-9 December 2021, and we’re calling for interested groups to sign up and join us.