Sign up for our newsletter and get the latest HPC news and analysis.

Slidecast: How Cycle Computing Spun Up a Petascale CycleCloud

Slide1

“For this big workload, a 156,314-core CycleCloud behemoth spanning 8 AWS regions, totaling 1.21 petaFLOPS (RPeak, not RMax) of aggregate compute power, to simulate 205,000 materials, crunched 264 compute years in only 18 hours. Thanks to Cycle’s software and Amazon’s Spot Instances, a supercomputing environment worth $68M if you had bought it, ran 2.3 Million hours of material science, approximately 264 compute-years, of simulation in only 18 hours, cost only $33,000, or $0.16 per molecule.

AWS Powers Largest Genomics Analysis Cluster in the World

1krP

Working with DNAnexus and Amazon Web Services, we were able to rapidly deploy a cloud-based solution that allows us to scale up our support to researchers at the HGSC, and make our Mercury pipeline analysis data accessible to the CHARGE Consortium, enabling what will be the largest genomic analysis project to have ever taken place in the cloud.

Deploying a Lustre Cluster for HPC Applications in the Cloud

snap

Amazon has several storage related services, but there is no shared file system service. It seems there is a need for a parallel file system like Lustre.