Welcome to PEARC20! PEARC20’s theme is “Catch the Wave.” This year’s theme embodies the spirit of the community’s drive to stay on pace and in front of all the new waves in technology, analytics, and a globally connected and diverse workforce. We look forward to this year’s PEARC20 virtual meeting, where we can share scientific discovery and craft the future infrastructure.
The conference will be held in Pacific Time (PT) and the times listed below are in Pacific Time.
The connection information for all PEARC20 workshops, tutorials, plenaries, track presentations, BOFs, Posters, Visualization Showcase, and other affiliated events, are in the PEARC20 virtual conference platform, Brella. If you have issues joining Brella, please email pearcinfo@googlegroups.com.
Since its inception as a Linux Foundation project in 2015, the OpenHPC project (https:///openhpc.community) has steadily grown to provide a modern, consistent, reference collection of HPC cluster provisioning tools, together with a curated repository of common cluster management software, I/O clients, advanced computational science libraries and software development tools, container-based execution facilities, and application performance profiling tools. Although the primary focus of OpenHPC remains enabling the on-premises deployment of new HPC clusters rapidly, the OpenHPC software repository itself serves as a reliable, portable, integrated collection of software, libraries, tools and user environment that can be employed in containers and VMs in the cloud. This can be particularly useful for those environments that one to either augment their on premises HPC resources with additional cloud-based resources (a hybrid cloud model) or deploy a full cloud solution. The goal of this tutorial is to help HPC cluster operators, users, and computational science application developers gain a better understanding of OpenHPC, and how it can be customized and extended to provide additional services that are commonly requested by our community including adding Open OnDemand support. This tutorial will cover extending an OpenHPC cluster to support additional software and features for both the on-premise and cloud models.
