Getting started in the HPC world requires learning to write parallel applications and learning to administer and manage clusters. We take a look at some ways to get started.

Adding and subtracting software from a running cluster can be tricky; however, many application packages can be added or removed easily with a few tools and some simple tricks.

In this second article on scalable storage in cloud environments, we cover the inner workings of RADOS and how to avoid pitfalls.

HPC systems are really designed to be shared by several users. One way to share them is through a software tool called a resource manager. Openlava is an open source version of the commercial scheduler LSF. It shares the robustness of LSF while being freely available, very scalable, and easy to install and customize.

The Julia language is a very powerful parallel computing model that works across multiple cores and cluster nodes.

Installing and configuring Warewulf on the master node and booting the compute nodes creates a basic cluster installation; however, a little more configuration to the master remains and a few other tools must be installed and configured for the Warewulf cluster to become truly useful for running HPC applications.

The Warewulf stateless cluster tool is scalable and highly configurable, and it eases the installation, management, and monitoring of HPC clusters.

Sure, you could pay for cloud services, but with GlusterFS, you can take the idle space in your own data center and create a large data warehouse quickly and easily.

Stepping Back to Move Forward: Breaking the rules could offer some new avenues for the future of HPC.

We’ll show you around some of the tools you need for rolling out your own high-performance cluster.