The Pitt CRC team is excited to announce 1,776 new compute cores! In the smp cluster and smp partition we added 32 nodes with 24 cores per node. In the mpi cluster we added 36 nodes with 28 cores per node, with modern Skylake Intel processors with 192 GB of RAM, up from 64 GB on the current opa partition. We also created an additional partition on the mpi cluster called opa-high-mem. Let us know if you have any problems. We look forward to another big announcement soon, so stay tuned!
Strengthening the marriage of computation and experimentation is a goal of Peng Liu, assistant professor in Pitt’s Department of Chemistry. The Liu lab is using Pitt CRC in refining computation models as part of a research process incorporating rapid experimental feedback.
“With only computation, we can never really reproduce reality,” explains Liu. “There can be a tremendous amount of error in computation when dealing with complex chemical systems. Experimentation works with realistic systems, but it is often based on trial and error. To advance computation to guide experiments you need new computational models that incorporate experimentation. Experimentation may be trial and error, but don’t forget the importance of intuition in trial and error.”
Pitt CRC is excited to host Advancing Research through Computing 2019 on March 8 at the University of Pittsburgh. ARC 2018 will explore advanced computing in research from Social Science and Business to Molecular Biology and Visualization. In addition to our keynote speakers will be talks by Pitt and CMU researchers in political science, economics, computational biology and other fields.
Keynote speakers will be:
Gary King, PhD
Director of the Institute for Quantitative Social Science, Harvard University
Heather Carlson, PhD
University of Michigan Department of Computational Medicine and Bioinformatics
Registration for the day-long Friday conference is free to academic participants, including breakfast and lunch. Following the presentations, there will be a student poster session offering $500 travel awards.
Thursday Jan. 24, 1-4 pm. Location: 311A Schenley Place. Our semi-annual cluster training presented by Pitt CRC consultant Shervin Sammak.
Practical Everyday Linux
Wednesday, Feb. 20, 1-4 pm. Location: 311A Schenley Place. Pitt CRC consultant Kim Wong will present a followup to the Cluster Training Workshop with hands-on experience with intermediate Linux commands,
R for Genomics
Thursday March 21, 1-4 pm. Location: Health Sciences Library System Conference Room B. Pitt CRC consultant Fangping Mu will introduce the R and Bioconductor environment on the HTC cluster.
Introduction to Data Science with R
Wednesday, April 17, 1-4 pm. Location: 311A Schenley Place. Pitt CRC consultant Kim Wong will introduce attendees to tools for performing data science with R.
Basic Coding and Machine Learning with MATLAB
Tuesday, April 22, 1-4 pm. Location TBD The presenter will be Elvira Osuna-Highley, PhD, senior customer success engineer at MathWorks, Inc.
Above: Pitt CRC research faculty consultants Fangping Mu,