Register for $500 poster contest at CRC April 6 Symposium
The Center for Research Computing is holding a student poster contest with two $500 prizes at our biannual Advancing Research through Computing symposium online on April 6, 2021. Nationally prominent keynote speakers from UC Berkeley and Argonne National Laboratory, as well as speakers from the University of Pittsburgh and Carnegie Mellon University, will discuss advanced computing in Materials Design and Precision Medicine. Find information on speakers, abstracts, and registration at: Advancing Research through Computing 2021 | crc.pitt.edu | University of Pittsburgh.
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 Next Generation Sequencing Workshops
Final CRC Spring Workshop April 1
High throughput sequencing has brought abundant sequence data along. Our nine hands-on, 3-hour workshops give researchers tools to plan and execute successful bioinformatics and genomics experiments. These workshops, taught by experienced Bioinformatics core faculty, cover both the theoretical and practical aspects of a wide range of NGS data, using CRC's HTC cluster. Attendees are required to have a CRC account. To apply for an account, https://crc.pitt.edu/apply. Follow the steps in this documentation (https://pitt.app.box.com/v/htc-ondemand-logon) to check if you have a CRC account. Install Pulse Secure so that you can access the HTC cluster.
For more information go to: Spring 2021 Next Generation Sequencing Workshops | crc.pitt.edu | University of Pittsburgh. Register for all workshops: https://crc.pitt.edu/NGS-Spring-2021-Workshops-Register.
- Single cell RNASeq
Tuesday, March 23, 1-4 pm
- scRNASeq data analysis
Thursday, March 25, 1-4 pm
XSEDE and PSC Big Data Workshop April 6-7
XSEDE, along with the Pittsburgh Supercomputing Center, is presenting a two-day workshop titled Big Data and Machine Learning. This workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. Due to COVID-19, this workshop will be remote, using Zoom. The tentative agenda is located here: https://www.psc.edu/resources/training/big-data/. For more informatioin and registration: XSEDE HPC 2-Day Workshop: Big Data. Please address any questions to Tom Maiden at firstname.lastname@example.org.
Lunch & Learn Data Management for Research Programs
The next session of the Swanson School's Valuable Opportunities for Research Programs Lunch & Learn will cover Data Management, presented by Pitt Digital Scholarship Services via Zoom on Thursday, March 25 at noon. Digital Scholarship Services, a part of Pitt Libraries, offers resources, expertise, and services in support of a broad range of digital and data-intensive scholarly activities. Some examples include support for data management plans in grant proposals; basic training in python, R, or ArcGIS; best practices for open data and data sharing; and training in software tools such as Git/GitHub and OpenRefine. The Zoom information for this session is:
Please contact Jaime Turek (email@example.com) with any questions.
- Zoom Link: https://pitt.zoom.us/j/2122449902
- Meeting ID: 212 244 9902
- Passcode: H2P!
Workshop June 7-11: Python for Scientific Computing and TensorFlow for AI
CRC is co-sponsoring a workshop on Python for Scientific Computing and TensorFlow for AI. This 5-day hands-on workshop will be offered will be presented by Dr Stephen Lynch of Manchester Metropolitan University in the U.K. This workshop is designed for anyone in the engineering, computing and scientific community who wants to learn how to use Python for Scientific Computing and TensorFlow for Artificial Intelligence.
No prior knowledge of Python or programming is necessary to benefit from this workshop. The emphasis is on practical applications based on hands-on tutorials using Python and TensorFlow. The emphasis is not on the mathematical theory. Cost for the workshop is $50 for Students/Post-Docs, and $100 for others. Find more information and registration at Workshop: Python for Scientific Computing and TensorFlow for AI | crc.pitt.edu | University of Pittsburgh.
Funding Opportunity: Improve Code and Workflow for NSF's Leadership Class Computing Facility
The NSF has announced an opportunity for science teams with 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 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, 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/.
Try the ULS ORCID Initiative
- 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).
Consider taking advantage of the ORCID@Pitt initiative. You can register for an ORCID ID at any time using the ORCID@Pitt web application. If you already have an ORCID ID, you can connect it with Pitt systems using the same link. Be sure to log into the app using your University of Pittsburgh computing account username and password. There is a help page providing you with information about the benefits of having an ORCID ID. If you have questions or would like assistance in registering and connecting your ORCID ID with University of Pittsburgh systems, please contact the ULS ORCID Communications Group.