Humboldt High Performance Computing Center
ITS is committed to supporting faculty and students as they explore grant opportunities to further research, creative activities, and program development. These projects may require high performance computing (HPC), storage, code review, or software purchases. In addition to research resources, we offer limited support for instructional needs that require HPC.
If you are uncertain about the information technology needs of your project please contact us during the pre-award stage when you are applying for a grant. ITS offers early consultation and planning, with many FREE resources available.
Whether you have a well-developed project in mind, or are dreaming about a future project, we are happy to help.
Success Stories
Success Stories
“I went from zero to running my R script in JupyterHub the same day because ITS walked me through the platform. I was then able to run my script in less than half the time because I could claim multiple CPUs and more RAM than I could have dreamed of. I doubled my planned study design factors because the NRP and TIDE made it possible to run my simulations in parallel in a shorter amount of time than I would otherwise be able to. I cannot thank ITS enough for their instrumental help in getting me started and running my research on the HPC. ITS reached out to me to help with my research, and even proposed solutions that advanced my efficiency in ways I didn't even conceive of. They wrote a custom program for me so that it would be even easier to run my project simulations.” Margarete Walden, Postdoctoral Research Associate, U.S. Geological Survey California Cooperative Fish and Wildlife Research Unit
“NRP was a really nice resource for training my GPU hungry image segmentation models. It was really handy being able to use JupyterHub from my Windows computer. When I needed more resources, I got them!” - Alana Chin, Assistant Professor of Plant Physiology
“I had a student who needed GPU resources to train a deep learning image classifier as part of her senior capstone, which sought to identify types of forest logging activity through paired satellite images. The student had been struggling to use other platforms and we had a very tight timeline, but with the research support team's help and the computing resources of TIDE she was able to wrap up her time at Cal Poly Humboldt with a very successful project.” - Peter Overholser, Research Scientist, Schatz Energy Research Center
“Processing times have been improved, and the time to complete a 3D model has drastically decreased. We started out letting Metashape run all night on laptops, now my assistant is able to go out and procure a specimen, photograph it and get his model built before his 4 hour shift is over. We are also able to use about double the photos that we were using before, and thus able to make higher quality models.” - AJ Bealum, Project Manager & Programmer, 3D Digital Herbarium
- "Thanks to Ravi for helping us test our Supermicro/Nvidia K80 compute nodes and Dell R740XD server for our new supercomputer build. Thanks especially for helping us reconfigure our DCS-800 100 gigabyte ethernet switch. Without his help, we would still be trying to figure out how to reconfigure it from being a 32 Port Router (Layer 3) and to a 32 Port switch (Layer 2) for the compute nodes." - Dr.Ken Owens, Mathematics and Computer Science Dept.
What we can help with
- Pre-award consultations
- Hardware review
- Code review
- Building custom containers
- Parallel computing
- Software recommendations
- Storage
Team Members
- A. Cade Webb, Deputy CIO
- Ravi Chalasani, Research Support Technician
- Brian Campbell, Academic Technology Specialist
- John Gerving, TIDE student assistant
Contact us for help
- Email: itsresearchsupport@humboldt.edu
- Phone: 4100
- Location: SBS 413
- Hours of operation: Please schedule an appointment with us
Recent presentation slides:
- Data Science Practice Group 9/10/2024 (Cal Poly Humboldt login required)
- PD Poster Session 8/23/24
- CNRS Intro to HHPCC (Cal Poly Humboldt login required)
- Data Science 3/6/2024 (Cal Poly Humboldt login required)