AWS HPC Blog
AWS ParallelCluster 3.3.0 now supports On-Demand Capacity Reservations
With #AWS #ParallelCluster 3.3, you can now easily take advantage of #EC2 On-Demand Capacity Reservations to help ensure your jobs have the capacity they need when they need it. This post describes the new feature and how you can benefit from it.
Building deep learning models for geoscience using MATLAB and NVIDIA GPUs on Amazon EC2 (Part 2 of 2)
This is the second of a two-part post.Part 1 discussed the workflow for developing AI models using MATLAB for seismic interpretation. Today, we will discuss the various compute resources leveraged from AWS and NVIDIA for developing the models.
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.
Helping bioinformaticians transition to running workloads on AWS
Calling budding bioinformaticians! If you learn through hands-on practicals and walkthroughs, AWS and GIS have developed training and resources to help you increase the scale and productivity of your research using the AWS cloud.
Second generation EFA: improving HPC and ML application performance in the cloud
Since launch, EFA has seen continuous improvements in performance. In this post, we talk about our 2nd generation of EFA, which takes another step in improving Machine Learning and High Performance Computing in the Cloud.
Launch self-supervised training jobs in the cloud with AWS ParallelCluster
In this post we describe the process to launch large, self-supervised training jobs using AWS ParallelCluster and Facebook’s Vision Self-Supervised Learning (VISSL) library.
Avoid overspending with AWS Batch using a serverless cost guardian monitoring architecture
Pay-as-you-go resources are a compelling but budget-limited researchers performing HPC workloads need help working within the bounds of their grants. In this post, we show how to build a real-time cost guardian for AWS Batch to help enforce those limits.
Bridging research and HPC to tackle grand challenges
Today we announced the AWS Impact Computing Project at the Harvard Data Science Initiative (HDSI) to identify potential solutions that can improve the lives of humans, other species, and natural ecosystems. Deb Goldfarb describes its goals and our joint vision.
Support for Instance Allocation Flexibility in AWS ParallelCluster 3.3
AWS ParallelCluster 3.3.0 now lets you define a list of Amazon EC2 instance types for resourcing a compute queue. This gives you more flexibility to optimize the cost and total time to solution of your HPC jobs, especially when capacity is limited or you’re using Spot Instances.
Hyper Metal: Scaling AWS Instances Up with TidalScale
In this post we show you how to scale large-memory, high CPU-count single system-image environments on AWS with HyperMetal-powered instances by TidalScale.