From time-to-time users of the national HPC systems encounter issues that need more attention than regular user support. This can be an issue related to a specific project or something affecting several projects within a certain discipline.
Such issues must be handled on time, both to provide the users with extra assistance and to ensure efficient usage of the Sigma2 resources. NRIS handles cases like this through dedicated Advanced User Support (AUS) projects.
As part of a discipline-specific AUS, a research group from the National History Museum (NHM) at the University of Oslo who works on supercomputer Saga were unable to run their pipeline as expected.
They work in a field of biology called systematics and construct family trees of plants. The illustration above shows a flowering Ledebouria plant, one of the species in question.
DNA sequencing large amounts of data
The researchers need to use HPC to conduct their research because they have so many DNA sequences per species that it would take “forever” to handle them on their personal computers. The programs they use for making phylogenies are also computationally intensive, and the load becomes heavier and heavier with increased amounts of input data. Attempting to run these analyses on their computers would be unavailable for other work.
Previously, they had run the software on their personal computers with a straightforward setup. However, when they tried to install it on Saga, they kept running into an error. The researchers needed help from NRIS and an AUS to understand the issue fully and to resolve it. Luckily, the NRIS experts Sabry Razick from UiO and colleague Oskar Vidarsson at UiB were ready to help.
Personalised support
- This AUS helped us throughout the process. Sabry decided to tackle an issue at a time which allowed us the opportunity to understand the process of fixing the errors and give us full personalised support on the issues that arose. This fixed the pipeline in the end and allowed us to push forward with our job, says J. Adrian Chimal Ballesteros, PhD candidate at NHM.
The challenges of the NHM research group were thus resolved as they were able to explain their issues and state the desired solution clearly through regularly scheduled follow-up meetings together with the assigned experts. Of course, as these problems are complex, some time was spent to resolve the problem.
- This might also have been due to a technical aspect that I am not aware of. The time it took to solve the issue is understandable since a few projects were being aided in tandem”, says J. Adrian.
