Scientific Computing in the Cloud
Presented Live on September 22, 2015
Scientific computing in the cloud offers numerous benefits, not only in terms of cost savings, but also for reducing infrastructure management and actually improving performance (you can spin up thousands of cores to run analyses for as long or little as you want, so it's like having virtually limitless compute). By utilizing the vast cloud resources, you can access an incredible amount of computing power that's so large, it would be very cost-inefficient to try and build in your own data center.
Still, there are some hurdles involved with accessing cloud computing resources for scientific research. Latency to the cloud can detract from the efficiencies gained with using cloud compute. You may also find that it takes time and effort to rewrite your applications for cloud (object) protocols. In order to get started with scientific cloud computing, you'll need a new solution for side-stepping these issues and increasing the value you'll see from using cloud.
In this session, you will learn:
- Why and how H3 Biomedicine is integrating the cloud into its scientific research infrastructure strategy
- How to access cloud compute resources without needing to rewrite all of your applications
- What research organizations can do to leverage AWS's wide range of products for building the exact solution that they need
- Jacob Feala, Bioinformatics Platform Lead, H3 Biomedicine
- Bret Martin, Principal Research Computing Architect, H3 Biomedicine
- Sabina Joseph, Global Ecosystem Segment Leader, Amazon Web Services
- Scott Jeschonek, Director of Product Management, Avere Systems