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DEVELOPING TECHNOLOGY AND INFRASTRUCTURE FOR THE RESEARCH AND EDUCATION COMMUNITY

 

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Recent News

11 Oct

Status Report After Hurricane Maria

We hope that this message finds you all safely.

As you all probably know, hurricane Maria has brought an unprecedented amount of devastation to all of Puerto Rico. The HPCf has luckily not suffered many damages and our staff and equipment are safe. Yesterday, 20 days after Maria’s passage through the island, we finally managed to restore most of our virtual machines, which host a significant amount of HPCf services, including our website.

At the time of writing, our cluster Boqueron seems to be working as usual, and users should be able to log in and submit jobs. During the hurricane, there was a power outage that knocked out 20 of Boqueron’s nodes and wiped out any jobs that were running there. Out of those 20 nodes, 19 have been restored. If you encounter any issues with Boqueron, please let us know.

While our machines are working close to normal, the HPCf offices themselves are still not fully operational. We have no electricity there yet, and so HPCf staff may be slow to respond to user tickets and inquiries. We thank you for your understanding during this difficult time.

We hope that you are all safe and that we can all recover quickly from hurricane Maria’s devastation.

18 Sep

HPCf Services During Hurricane Maria

As you all probably know, hurricane Maria is, at the time of writing, set to impact Puerto Rico starting this Wednesday as a category 4 hurricane. We are writing this post to explain what to expect from HPCf services during this time. In short, HPCf services will operate just like they did during hurricane Irma.

The HPCf machines are currently hosted at a private data center outside of any UPR campus or property. Our systems should be protected during the hurricane, and HPCf services (including jobs running on Boqueron) should continue to run as usual. If you manage to get electricity and an Internet connection (or if you are currently outside of Puerto Rico), you could, in theory, continue to work with HPCf resources even during the hurricane and its immediate aftermath.

That said, HPCf staff will not be available to provide regular support or maintenance to HPCf resources during the hurricane. That means that any help tickets will, unfortunately, remain unanswered until hurricane Maria has safely moved away from Puerto Rico. How quickly HPCf staff will be able to respond to support tickets during the aftermath of Maria will largely depend on the damage that Maria causes nationwide.

We are optimistic that our computers will not suffer downtime during the hurricane, but please keep in mind that it is still always a possibility that an outage could occur at the data center, and that such an outage could have unpredictable impact on user data. If you currently have absolutely crucial data on HPCf systems that you have not yet backed up–data that you absolutely cannot afford to lose–please make time during your hurricane preparations to back up your data. As stated in our Storage Policy, we do our best to protect user data, but users are ultimately responsible for keeping their data safe.

We appreciate your understanding, and we wish that you all stay safe during this major weather event.

About

The High Performance Computing facility of the University of Puerto Rico is presently developing a technology and service infrastructure for the research and education community of the University.  This infrastructure is built from the following components:

  • Advanced Research Network
  • Core High Performance Computational Resources
  • Services in Support of Users of Computational Resources
  • Standards and Architecture
  • Evaluation of Emerging Technologies

Some common tasks:

Use of HPCf resources requires that you acknowledge our sponsoring institutions: the University of Puerto Rico, the Puerto Rico INBRE grant P20 GM103475 from the National Institute for General Medical Sciences (NIGMS), a component of the National Institutes of Health (NIH); and awards 1010094 and 1002410 from the Experimental Program to Stimulate Competitive Research (EPSCoR) program of the National Science Foundation
(NSF).