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The exponential growth of big data is pushing companies to process massive amounts of information as quickly as possible, which is often times not realistic, practical or down right just not achievable on standard CPI’s. In a nutshell, High Performance Computing (HPC) allows you to scale performance to process and report on the data quicker and can be the solution to many of your big data problems.

However, this still relies on your cluster capabilities. By using AWS for your HPC needs, you no longer have to worry about designing and adjusting your job to meet the capabilities of your cluster. Instead, you can quickly design and change your cluster to meet the needs of your jobs.  There are several tools and services available to help you do this, like the AWS Marketplace, AWS API’s, or AWS CloudFormation Templates.

Today, I’d like to focus on one aspect of running an HPC cluster in AWS that people tend to forget about – placement groups.

Placement groups are a logical grouping of instances in a single availability zone.  This allows you to take full advantage of a low-latency 10 GB network, which in turn will allow you to be able to transfer up to 4TB of data per hour between nodes.  However, because of the low-latency 10 GB network, the placement groups cannot span to multiple availability zones.  This may scare some people away from using them, but it shouldn’t. You can create multiple placement groups in different availability zones as a work-around, and with enhanced networking you can also still connect between the different HPC’s.

One of the grea benefits of AWS HPC is that you can run your High Performance Computing clusters with no up-front costs and scale out to hundreds of thousands of cores within minutes to meet your computing needs. Learn more about Big Data and HPC solutions on AWS or Contact Us to get started with a workload workshop.

-Shawn Bliesner, Cloud Architect