New year, new CRC website
CRC went live this month with our new website with a look and feel aligning with other Pitt Research sites. The URL remains crc.pitt.edu and nothing has changed about the function of the site: Help tickets, allocation submissions, information on current cluster usage, applying for accounts, and User Alerts function normally. We've streamlined some of our navigation so that it will be easier to get where you need to go. If you have questions, please contact email@example.com.
CRC Spring Workshops
CRC is offering the online workshops below in the Spring semester. Register at: CRC Workshop Registration Spring 2021 | crc.pitt.edu | University of Pittsburgh.
CRC seeking research assistant professor
The Center for Research Computing invites application for a Research Assistant Professor position, non-tenure stream, in one of the following areas: computational science, digital humanities, scientific computing, high-performance computing, machine learning, data intensive computing, image processing, or bioinformatics.
The primary responsibilities will be to serve as a High Performance Computing or Data Science research facilitator, and will include:
- PhD or equivalent
- Prior experience with applying advanced computing to problems in science, social science, or humanities
- Strong verbal and written communication skills
- An open, inquisitive, and collaborative mindset
Are you interested in making an impact? Apply online or submit a CV and a cover letter to Ralph Roskies, Chief Scientist, Center for Research Computing (firstname.lastname@example.org). The cover letter should specifically address how your background, experience, and career goals align with the responsibilities of this position. Also provide names and contact information for three references.
- Engage and collaborate with faculty and students using computational methods in their research.
- Work with other CRC personnel in installing, maintaining, and supporting relevant software packages used by the Pitt community.
- Provide training workshops on computational methodology.
- Suggest improvements to hardware and software infrastructure as well as educational priorities which further computationally-driven research at Pitt.
- Respond to user tickets
Save the Date for ARC 2021
Pitt Center for Research Computing is hosting our biannual Advancing Research through Computing symposium online on April 6, 2021 with nationally prominent keynote speakers from UC Berkeley and Argonne National Laboratory, as well as speakers from the University of Pittsburgh, and Carnegie Mellon University. They will discuss the use of Advanced Computing in the fields of Materials Design and Precision Medicine. Watch for more details in February. Keynote speakers will be:
- Use of Advanced Computing in Design of Materials
Associate Professor, Department of Materials Science and Engineering
University of California Berkley
- Use of Advanced Computing in Precision Medicine
Associate Laboratory Director for Computing, Environment, and Life Sciences
Argonne National Laboratory
Cluster closed for maintenance Feb. 16
CRC clusters will be unavailable Feb. 16 for quarterly maintenance, Watch for User Alerts for the timing of the shutdown.
Apply for Kaufmann Foundation Grants
The Charles E. Kaufman Foundation of The Pittsburgh Foundation will award annual research grants in 2021 to researchers at Pennsylvania colleges/universities to carry out fundamental research in the areas of biology, chemistry and physics. Guidelines can be found on the Kaufman website. Please note that the review timeline has changed for 2021 applicants. Please review the guidelines carefully.
Grant programs include:
The deadline for submission of the Letter of Intent is Friday, March 12, 2021, by 11:59 p.m. through the online form. Please forward any questions to email@example.com or 412-394-2617.
Submit a letter of intent here.
Funding Opportunity: Improve Code and Workflow for NSF's Leadership Class Computing Facility
The NSF has announced am opportunity for science teams with current or future requirements exceeding those routinely available on today’s large-scale scientific computers to participate in establishing design requirements for a new leadership-class computing facility being planned by the NSF and the Texas Advanced Computing Center. Partner science teams will provide application codes or workflows for grand challenge-class problems that will drive the design of the NSF’s Leadership Class Computing Facility (LCCF), a large-scale computing and data resource funded through the NSF’s Major Research and Equipment Facility Construction process.
Science teams who require large-scale scientific computing are invited to submit a 2-page concept paper describing a grand challenge problem to be solved in their discipline, why LCCF resources will be needed, and what methods/codes will be used to solve the problem. The LCCF will provide direct funding to partner teams as well as a dedicated staff expert to assist in analyzing the existing code (or set of codes), completing a gap analysis and code changes, and running the challenge problem on the new platform. LCCF anticipates funding:
Find more information and application instructions at: https://lccf.tacc.utexas.edu/application-partners/.
Transfer data to CRC from Google Workspace
Pitt IT now offers Google Workspace, a cloud-based suite of productivity and collaboration tools that bring together popular Google apps into a single integrated workspace (for more information, see Google Workspace | Information Technology | University of Pittsburgh). It is possible to transfer data to and from Google Workspace to CRC storage: follow the instructions in the tutorial at: Google Workspace Drive | crc.pitt.edu | University of Pittsburgh.
- 20 teams selected from the initial applications to undergo a technical evaluation with the LCCF team to construct a final proposal.
- 10-15 teams will be funded at $120-$150k per year for the first year of study and design, with a commitment from the science team to collaborate with the LCCF project to improve the code for the candidate architecture. Teams making sufficient progress may be renewed for a second year of funding at the same level during final design.
- 6-10 teams will enter the construction phase of the LCCF project and be funded for approximately 30 months as the CSA is demonstrated on the LCCF’s HPC resource(s).