ARC is happy to announce the addition of 39 new GPU nodes to the NewRiver cluster. Each of these nodes is equipped with two Intel Xeon E5-2680v4 (Broadwell) 2.4GHz GPU (28 cores/node in all), 512 GB memory, and two NVIDIA P100 GPUs. Each GPU is capable of up to 4.7 TeraFLOPS of double-precision performance, so including CPU and GPU these nodes add over 400 TFLOPS of peak double-precision throughput to ARC's resources.
Continue reading P100 GPU Nodes added to NewRiver
External users of Virginia Tech ARC systems must switch to sponsored
accounts and shift their data files!
After 30 July 2017, a two factor authorization (2FA) scheme will be
necessary in order to access VT ARC systems. In turn, the
two factor authorization requires having a Virginia Tech PID.
Continue reading External Users Must Switch to Sponsored Accounts
Instructors of classes with a computational component can request a presentation on selected topics by an ARC computational scientist.
Topics include overviews of various parallel programming methods, machine learning and data science, visualization, and certain software packages. The level and scope of a presentation can be adjusted in advance, in consultation between the instructor and the ARC presenter.
Because our staff are small in number, and busy supporting the ARC systems, we can only respond to a limited number of presentation requests at any one time.
For a list of available presentations, refer to the document: Classroom Presentations. You may also be interested in the visualization presentations described in the document: Visualize This!.
For more information, contact Alana Romanella at email@example.com.
Visualize This! is a classroom outreach program that shows students how to enrich their work with visualization.
Staff members from the Visualization Group at Advanced Research Computing (ARC) have prepared visualization presentations that last one class period. They are also eager to work with the instructor in advance, creating a customized presentation that focuses on topics and data appopriate for a given class.
For more information, go to Visualize This! webpage, or refer to the Visualize This! brochure, or contact Nicholas Polys at firstname.lastname@example.org.
Users of Virginia Tech's ARC computing clusters know that, if they want to find information about installed software, they only have to go to the main ARC webpage https://secure.hosting.vt.edu/www.arc.vt.edu/ , and then on the menu bar choose RESOURCES and from that menu select SOFTWARE. This produces an alphabetical list of the more than 250 installed software packages, including the locations and version numbers. But the package listed immediately after lame is LBPMWIA, and as more than one perplexed user has remarked, "Where's LAPACK?"
Continue reading “Where’s LAPACK?”
Often times in bioinformatics, we need to utilize software and run programs that our normal computers or laptops are unable to handle. When this situation arises, the ARC super-computing environment helps alleviate some of this burden.
This FAQ will cover the programs related to bioinformatics that have been pre-installed and are ready for use on the ARC servers. Continue reading ARC TA – Hailey Larose/David Haak
HPC Day Agenda
We are looking forward to seeing you at our Annual HPC Day event March 24 from 10am-5pm!
The event includes: a keynote by James Ahrens from LANL, a machine learning workshop, and faculty and student presentations.
Keynote: "Supercharging the Scientific Process Via Data Science at Scale"
Dr. James Ahrens is a senior research scientist at the Los Alamos National Laboratory (LANL). He is the founder and design lead of ParaView, a widely adopted visualization and data analysis package for large-scale scientific simulation data ( http://paraview.org). ParaView has had an extremely positive impact on the large-scale data analytic capabilities available to simulation scientists around the world. Dr. Ahrens graduated in 1989 with a B.S. in computer science from the University of Massachusetts and in 1996 with a Ph.D. in computer science from the University of Washington. At LANL, he is part of a data science team of twenty staff, postdocs and students. He is also a national leader of programmatic initiatives important to the United States Department of Energy's National Nuclear Security Administration and Office of Science. Dr. Ahrens is the Data Analysis and Visualization lead for the U.S. Exascale Computing Project and the general chair for this year’s IEEE Scientific Visualization conference to be held in Phoenix, AZ in early October.
ARC member Nicholas Polys helped organize a session at the CHCI Workshop Technology on the Trail on March 2-3. The session "From Experience to Abstraction and Back Again" discussed the challenges and opportunities for citizen science, especially the use of uncertain data to build new scientific models. The event was covered with an article in the Roanoke Times!
Featuring sessions on big data workflows, data visualization, data publishing, and reproducible research practices, the 2017 Big Data Science Workshop will also incorporate a brainstorming/strategy session aimed at improving research workflows, a networking breakfast, and lightning talks.
ARC's Nicholas Polys and Brian Marshall each presented. The event flyer is here:
Big Data Science Workshop