THE BRIGHT BLOG

Whether you are a Bright customer, a Bright reseller, or in the process of evaluating Bright, you will be aware that Bright Cluster Manager is great at monitoring your cluster. From the moment that you set up your cluster for the first time, Bright’s monitoring capabilities set to work, providing comprehensive metrics and alerts.

To extract the most value from your HPC cluster, you need to ensure that system resources are being properly utilized.  HPC system users are notorious for over-requesting resources for their jobs, resulting in idle or underutilized resources that could otherwise be doing work for other jobs.  While one reason for this can be users hoarding resources to ensure they have what they need, another common reason why users over request resources is that they simply don’t know what resources their jobs will need to complete the job in a specified time.  For administrators to ensure that their precious and expensive cluster resources aren’t being squandered, they need to get actionable details regarding how the resources are being used.  More specifically, they need to know things like which jobs are using which resources, which jobs aren’t using resources that they’ve provisioned and which users are repeatedly hoarding resources unnecessarily, as well as other things.

Exporting and importing Bright objects is a topic that comes up very often, and we have an exciting enhancement on the horizon that I wanted to tell you about.

At a time when many of our customers are asking their employees to work from home in order to minimize spreading the COVID-19 virus, the challenge of maintaining business continuity with a remote workforce is a new endeavor for most organizations.  As such, we thought this would be a good opportunity to remind everyone about a feature in Bright Cluster Manager that makes it possible for cluster administrators to remotely access and manage their systems.

Earlier this week, Bright announced that Bright Cluster Manager for Data Science is now available at no charge as part of the Easy8 program. Easy8 was launched in November of 2019 and is designed to put Bright’s award-winning cluster management software in the hands of every organization working with high-performance Linux clusters.

As one of the newer members of the Bright team, I continue to be impressed by the overall level of happiness and satisfaction that emanates from our customer base.

This week, Bright announced the addition of more than 100 organizations to its client list in 2019. This new clientele list includes companies such as AMD, Caterpillar, Saab, Northrop Grumman, General Dynamics, Samsung, Lockheed Martin, along with 19 government agencies and 28 leading universities.

2019 was a great year here at Bright for many reasons, but for me, the highlight was the tremendous business growth that our Reseller community experienced. We have always worked closely with all our partners, and our company values the important role our Reseller partners play. Since I took responsibility for Bright’s reseller business in 2019, I have made it my job to take these relationships to the next level.

Bright just announced that Simula Research Laboratory has chosen Bright Cluster Manager to manage its multi architecture, multi-OS high-performance computing (HPC) environment. Established in 2001, Simula Research Laboratory AS was organized to create knowledge about fundamental scientific challenges that are of genuine value to society. Simula has since established eX³, which has become the previously missing national resource for research on exascale computing in Norway.

Waseda University is currently conducting important research at their Yamaji Laboratory on nuclear reactor design and safety analysis cited in this recent case study provided by HPC Tech. Their research encompasses four major themes including: