The first public release 0.5-beta1 is out on GitHub! Please start with the 7-post-long BurrMill 101 crash course, join the Q&A forum, and, most important, provide feedback. Both bug reports and feature requests are more than welcome!
This is the last part of the course, almost there! You’ll deploy your cluster, validate it with some smoke tests and learn a bit of Slurm along the way, and at last, understand BurrMill power modes and their use. This is enough to start your Kaldi experiments!
In this part you’ll create a declarative definition of your cluster. The hefty chunk of the section is dedicated to understanding of the GCE infrastructure conventions and limits that affect performance of the NFS shared disk.
In this part we’ll go through IAP tunneling feature of GCP, OS Login and its key management, and some ideas of SSH setup that will make connecting to the cluster easier.
This is the fourth part of the BurrMill 101 crash course. You will learn what is resource quota and how to request it, build all software, and create a base image with all necessary library and tool packages preinstalled, so that a new instance may be created in under a minute. There is still a lot to grok in a short time, but this knowledge will pay off sooner than you think. Still, we offer a few shortcuts of do-now-understand-later kind, if you would feel exhausted.
This is the third post of five in the BurrMill 101 crash course series. This is a walkthrough, by the end of which you will have secured your account, created a project, built and packaged all software, created a bootable OS image, and requested a quota for your computation: everything nearly ready to hit the button and start churning your data at scale.
In this section we’ll go through the high-level structure of the Google Cloud Platform (GCP), understand the relevant parts of its pricing model, and select the location for your BurrMill rig. This section is one of a few densely loaded with information which you need to absorb. The end goal of this is to select where in the world you are going to compute. Next, you can request the quota and complete your setup while waiting for a response.
This is the first in a series of seven rather long posts, a hands-on crash course with walkthroughs and explanations of cloud HPC computing, and a gentle intro into Google Cloud Platform (GCP), which a vast collection of services that allow for creating, automating and monitoring your applications.