AWS HPC Blog

Category: Compute

Cost-effective and accurate genomics analysis with Sentieon on AWS

In this blog post, we benchmark the performance of Sentieon’s DNAseq and DNAscope pipelines using publicly available genomics datasets on AWS. You will gain an understanding of the runtime, cost, and accuracy performance of these germline variant calling pipelines across a wide range of Amazon EC2 instances.

Optimizing your AWS Batch architecture for scale with observability dashboards

AWS Batch customers often ask for guidance to optimize their architectures and make their workload to scale rapidly. Here we describe an observability solution that provides insights into your AWS Batch architectures and allows you to optimize them for scale and quickly identify potential throughput bottlenecks for jobs and instances.

Building deep-learning models for geoscience with MATLAB and NVIDIA GPUs

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.