AWS HPC Blog
Author: Matt Vaughn
Matt Vaughn is a Principal Developer Advocate for HPC and scientific computing. He has a background in life sciences and building user-friendly HPC and cloud systems for long-tail users. When not in front of his laptop, he’s drawing, reading, traveling the world, or playing with the nearest dog.
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.
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.
Minimize HPC compute costs with all-or-nothing instance launching
In this post, we highlight a little-known configuration option for Slurm on @awscloud ParallelCluster that can reduce costs and increase your iteration speed by preventing idle batch instances from launching when EC2 capacity is limited.