Transition From ACENET Computing Clusters to New National Systems Has Begun
Users of ACENET’s four main advanced computing clusters (Mahone, Fundy, Placentia and Glooscap) have begun to migrate their data and get set up on one of the new Compute Canada state-of-the art systems. The process will be complete by 31 March 2018, at which time these four clusters will be decommissioned.
The target dates by which users should be prepared to leave each system are as follows:
- Mahone, 15 November 2017
- Fundy, 31 November 2017
- Placentia, 31 January 2018
- Glooscap, 28 February 2018
Some of these transfers involve large files, and the process of installing and testing software on a new cluster can take time, so we’re staggering the dates to make it easier for everyone.
As the target date for each cluster approaches we will communicate with its users, providing instructions and resources for migration. There will be at least one month provided to complete the migration.
However, there is no need to wait! Anyone wishing to begin using the new national clusters immediately is encouraged to do so. Check out our Wiki for further information.
There is also lots of training available on using the new Cedar and Graham clusters. Just refer to our training page.
Support throughout and following the transition process will be handled via firstname.lastname@example.org
While this new national infrastructure is not located in Atlantic Canada, ACENET will continue to be the primary support organization for research groups in Atlantic Canada, providing training, research consulting, and troubleshooting. Reach out to your local team, or contact us at email@example.com
Visit the News page for a full archive of news articles
CANARIE Awards $2M in Funding for the Evolution of Existing Research Software to Support New DisciplinesSeptember 25, 2017 / 0 Comments
Visit the Events page for a full list of upcoming Events
The new Compute Canada national general purpose systems, Graham and Cedar, have massive compute resources that are available to all Canadian research teams. Focusing on Graham, located at the University of Waterloo, this online seminar provides an overview of available systems, and basic usage information including job submissions/management, queueing policies and available software and support. No registration is required. Join the seminar at SN-Seminars Vidyo room
Note: In order to receive audio/video you will need to install the Vidyo plugin (Windows, Mac, Linux, iPhone, Android), which should download automatically when you follow the above link. If you run into problems, please email firstname.lastname@example.org. It is highly recommended that you join the seminar a few minutes early to ensure Vidyo is working before the meeting starts.
If you have a question or difficulty you would like to discuss live with an ACENET research consultant, just drop in to the ACENET Office Hours in Google Hangouts. No need to register.
Singularity is an application containerization solution for High Performance Computing (HPC), developed by Singularity LLC. The goal of Singularity is to allow for “mobility of computing”, where an application containerized on one Linux system should be able to run on another system as it is, without the need to reconcile software dependencies and Linux version differences between the source and target systems.
This session will provide an overview of the main features and benefits of Singularity, as well as a demonstration of how to run Singularity on Compute Canada systems, how to access filesystems from the container, and how to convert Docker containers to Singularity applications. Some starter documentation on Singularity can be found on the WestGrid website.
This session is targeted at existing Compute Canada users at the intermediate level with some prior experience in using HPC machines. Having a Compute Canada account will allow for hands-on experience during the session. Familiarity with Docker or other container platforms is recommended, as well as a minimal familiarity with software installation on any Linux system (be that a desktop, a server, or cloud instance). Familiarity with Docker or other container platforms is a plus, but not strictly required.