Guest Seminar: Markus Diefenthaler, Exploring the heart of matter at Jefferson Lab

Please mark you calendar for this exciting Guest Seminar:

JLab Physicist Markus Diefenthaler

Thursday, August 29 at 2:00 pm in TORGERSEN 1100

Title Exploring the heart of matter at Jefferson Lab

Thomas Jefferson National Accelerator Facility in Newport News, Virginia, is a U.S. Department of Energy Office of Science national laboratory. Jefferson Lab’s unique and exciting mission is to expand humankind’s knowledge of the universe by studying the fundamental building blocks of matter within the nucleus: subatomic particles known as quarks and gluons. In my seminar, I will present our science program to understand the structure of atomic nuclei directly from the dynamics of their quarks and gluons, governed by the theory of their interactions, quantum chromodynamics (QCD), and motivate how advances in theory, accelerator and detector technologies, and in particular in computer science will enable a new frontier in nuclear science.

Organized In Cooperation with Advanced Research Computing and TLOS.

Researchers use virtual reality, GIS data to enhance trail management

3D Models are increasingly valuable for safety and for scenery. ARC and CGIT collaborated to host researchers considering scenic resources inventory, including protocols and results for the Appalachian Trail:

Roanoke Time article and photos:

VT ARC hosting AI Hackathon in collaboration with OpenPOWER and IBM

VT OpenPOWER Hackathon –

April 19th through May 3rd


The VT OpenPower Hackathon is a first-of-its-kind AI (artificial intelligence) Hackathon at Virginia Tech that will focus on accelerating AI model training, with the ambition to reap and share the power of AI technologies with Virginia Tech’s student community.  Prizes will be awarded to winning teams: 1st place = $2,000, 2nd place = $1,000, and 3rd place = $500!!!

The Hackathon is being organized by the OpenPOWER Foundation Academic Workgroup, in collaboration with Virginia Tech faculty from Advanced Research Computing, and the IBM Systems Client Experience Center. The event takes place between April 19 and May 3, 2019. The initiation and problem statement will be shared on Friday, April 19 (Hackathon Launch Day). Hackers will have two weeks to work independently. The Hackathon will end with power hackers submitting projects to be presented and judged on the Hackathon Awards Day, Friday, May 3, 2019.

Participants will help to create a new wave of high performing AI models that have the potential to impact all our lives.

Hackathon Theme

The theme of the Hackathon is “Accelerating AI at Scale.” The goal is to demonstrate that optimizing the time needed to train a model can significantly impact the time required to obtain results. Students will be encouraged to use an existing model they have trained on Power Systems and demonstrate how their training time can be accelerated using the latest state-of-the-art techniques on the same Power Systems to the same accuracy.

Details of the event will be provided two weeks prior to the May 3rd judging day, allowing participants to prepare and access system resources to develop their submission. The aim of the competition is to unite students from different creative fields to accelerate the training of AI model prototypes using AI tools in a limited amount of time. The competition will test the students’ fortitude and ability to work under pressure.


Location/Dates and Times


Hackathon Launch Day - Friday, April 19th, 11 AM – 2 PM, 1100 Torgersen Hall

Hackathon Awards Day - Friday, May 3rd , 10:30 AM – 2 PM, 1100 Torgersen Hall



How to prepare for the Hackathon


Students are recommended to select a starting Machine Learning/Deep Learning model they are working on or to select a model from other sources (github,, modelzoo, etc.) from which they can collect a baseline training time and test accuracy.


Students will evaluate ways to accelerate the training time for their model by exploring advanced techniques and the use of:

  • Multiple GPUs with a server
  • Multiple GPUs across multiple servers
  • Accelerated machine learning libraries
  • Other innovative approaches


Come to the Hackathon Launch Day to learn about the technologies you can apply. Be ready to put the final touches on your accelerated model to demonstrate your test accuracy and speedups at Hackathon Awards Day. We encourage the use of open datasets and the sharing of code, jupyter notebooks, etc., as part of the Hackathon’s skill- and team-building goals.


Technologies and Available Resources


Some of the more popular training acceleration tools and techniques will be covered on Launch Day and can be found in IBM PowerAI on the AC922 Cluster at VT (Huckleberry – including:

  • Tensorflow benchmark samples
  • IBM Distributed Deep Learning
  • IBM Snap ML library
  • Nvidia RAPIDS.AI library
  • IBM Large Model Support (note the need for higher resolution datasets)
  • Frameworks optimized for POWER8

Review the PowerAI education and technical resources to get started.


Participant Registration

 The Hackathon is open to all Virginia Tech students. Register soon, as space is limited! To register, create a team and follow this link -

Please note that teams should be 2-6 members (in the spirit of fairness).

We also have an open invitation for industry experts to serve as mentors during the Hackathon, helping students refine their ideas. If you are interested in supporting this event as a mentor, please contact  For other questions/concerns, please email


  • We encourage participation in teams of 2-6 participants to foster collaborative sharing of skills and knowledge.
  • We want to see innovative code, not just PowerPoints! However, creative presentation of the results and re-use of code is also ​important and encouraged.
  • Access to the VT Power Systems cluster resources will be provided.
  • Participants are not restricted to any AI framework, but models should be machine learning or deep learning models.
  • On various occasions throughout the event, photographs and video will be taken. By applying, participants are consenting to being photographed and filmed.

Be Excellent To Each Other: This is, by all means, the most important rule. This is a very diverse environment, made up of people from many backgrounds. Any behavior or presentation that objectifies or belittles others will be halted, with the presenters immediately disqualified and removed from the event.

Evaluation Criteria

  • Utilization of AI Technology (30 points): How well does the concept follow our theme? How well is the technology implemented? Does the project scale?
  • Impact (30 points): Is there a clear benefit for the solution? How much acceleration was achieved? Did the accuracy of the model suffer?
  • Creativity (20 points): How creative was the team in developing an innovative solution for the challenge?
  • Technical Effort (20 points): Is the project technically impressive? Complex? Does it seem remarkable that someone could achieve this acceleration as part of the Hackathon?

Prizes (All prize are in USD)

  • 1st Place: $2,000
  • 2nd Place: $1,000
  • 3rd Place: $500

Launch Day Agenda
11:30 AM- Noon:        Hackathon Launch!
Noon:                          Break for Pizza
12:30 – 2:00 PM:        Hackathon Tools you can use

Awards Day Agenda (subject to change based on # of teams)
10:00 AM:                   Coffee, Tea, and Check-In
10:30 – 11:00 AM:      Welcome and Overview
11:00 AM - Noon:       Judge /Mentor Walkthroughs and Questions
Noon:                          Sponsored Lunch
12:40 – 1:40 PM:        Final presentations (10 min max per team)
1:40 – 2:00 PM:           Hacking Ends and winners announced!


Even though the hacking is over doesn’t mean that you shouldn’t carry on with the great work you started! We encourage you to keep going, consider becoming a mentor in future hackathons, and share your results with the community.

High-performance computing boosts art and design students’ creative power

Virginia Tech News Story :

Inside HPC News Story:

The Institute for Creativity, Arts, and Technology (ICAT) had already forged a partnership with the university’s Division of Information Technology, which created a high-speed connection to its high-performance computing networks for the institute’s data-intensive projects in the Cube.

Virginia Tech’s Advanced Research Computing (ARC) group in the Division of Information Technology offers shared high-performance computing resources to support the Virginia Tech research community, as well as non-research users who need more high-end computing power than departmental systems can provide. Offering high-performance computing services on ARC’s clusters means the computational processing, management, and data storage needs are all serviced remotely. 

SC24 WG9

Dr. Polys has been honored with an invitation to speak at an upcoming ISO-IEC meeting in Seoul, South Korea, Jan 21-25.  Dr. Polys will be presenting on X3D/HL7 medical graphics and informatics work. Specifically, ARC's innovations with the international interactive 3D standards X3D,  H-ANIM, and HL7  FHIR and Mixed and Augmented Reality (MAR) are converging to improve health outcomes across domains and conditions. The presentations and schedule are available here ; the Web3D twitter feed is here.

ARC Goes Deep at SIGGRAPH 2018


The VT Center for HCI posted this NEWS story and the international Web3D Consortium posted all of Dr. Polys' presentations HERE,


  • Immersive Visualisation for Research, Science and Art
  • Cartographic Visualization (Carto) BoF
  • Scaling Up 3D Medical Applications for People Everywhere
  • WebVR Evolution for a Larger Web
  • Design Printing and Scanning: Web3D Makers Making More!

PEARC 2018

VT Biochemistry  had a strong showing, presenting their results on using immersive visualization in VT's Visionarium Hypercube to engage and teach students (paper & presentation here).

The Technical Paper was presented and awarded Best Student Paper!

Dr. Srijith Rajamohan ( presented a workshop on ‘Introduction to Machine Learning with TensorFlow and Keras’. The purpose of this workshop was to provide a formal introduction to the mathematical concepts underlying Machine Learning. This was augmented by hands-on examples in the Machine Learning framework TensorFlow and the Deep Learning framework Keras.  The slides for this workshop can be found at .

Alana Romanella ( served on the executive committee as Diversity and Workforce Development Chair and Chair Emeritus for the Student Program.  She focused on promoting inclusivity through increasing individual diversity awareness skills and effective organizational systems that allowed for a more diverse conference.

Interested in joining us next year?

PEARC19, will be located in Chicago from July 28 – August 1, 2019, and will explore the current practice and experience in advanced research computing including modeling, simulation, and data-intensive computing.  A primary focus next year will be on Machine Learning and Artificial Intelligence which are proving to be disruptive technologies in a diverse range of scientific fields from materials science to medicine.

Dr. Srijith Rajamohan presenting during his 'Introduction to Machine Learning with TensorFlow and Keras’ workshop