May 18, 2017 Nicole Hemsoth
For almost a decade now, the cloud has been pitched as a cost-effective way to bring supercomputing out of the queue and into public IaaS or HPC on-demand environments. While there are certainly many use cases to prove that tightly-coupled problems can still work in the cloud despite latency hits (among other issues), application portability is one sticking point.
For instance, let’s say you have developed a financial modeling application on an HPC on demand service to prove that the model works so you can make the case for purchasing a large cluster to run it at scale on-prem. This …Read more