Colloquium Series

Data Science Institute Colloquium: Dan Stanzione

Tuesday, November 27, 2018 - 2:30pm to 4:00pm
Davis Auditorium 412 CEPSR
530 West 120th Street
New York, NY 10027
United States

Computing for the Endless Frontier


Prof. Renata Wentzcovitch (APAM and Earth/Environmental Sciences Departments)


Dan Stanzione

Dan Stanzione
Executive Director, Texas Advanced Computing Center
Associate Vice President for Research
The University of Texas at Austin

In August of 2018, the Texas Advanced Computing Center (TACC) at the University of Texas at Austin was selected as the sole awardee of the National Science Foundation’s “Towards a Leadership Class Computing Facility” solicitation.

In this talk, I will describe the main components of the award: the Phase 1 system, “Frontera”, which will be the largest University-based supercomputer in the world when it comes online in 2019, the plans for facility operations and scientific support for the next five years, and the plans to design a Phase 2 system in the mid-2020s to be the NSF Leadership system for the latter half of the decade, with capabilities 10x beyond Frontera.

The talk will also cover the growing and shifting nature of the scientific workloads that require advanced capabilities, the technology shifts and challenges the community is currently facing, and the ways TACC has and is restructuring to face these challenges.


Dr. Stanzione is the Executive Director of the Texas Advanced Computing Center (TACC) at The University of Texas at Austin. A nationally recognized leader in high performance computing, Stanzione has served as deputy director since June 2009 and assumed the Executive Director post on July 1, 2014. He is the principal investigator (PI) for several leading projects including a multimillion-dollar National Science Foundation (NSF) grant to deploy and support TACC’s Stampede supercomputer over four years. Stanzione is also the PI of TACC’s Wrangler system, a supercomputer designed specifically for data-focused applications.

He served for six years as the co-director of CyVerse, a large-scale NSF lifesciences cyberinfrastructure in which TACC is a major partner. In addition, Stanzione was a co-principal investigator for TACC’s Ranger and Lonestar supercomputers, large-scale NSF systems previously deployed at UT Austin. Stanzione previously served as the founding director of the Fulton High Performance Computing Initiative at Arizona State University and served as an American Association for the Advancement of Science Policy Fellow in the NSF’s Division of Graduate Education.

Stanzione received his bachelor’s degree in electrical engineering and his master’s degree and doctorate in computer engineering from Clemson University, where he later directed the supercomputing laboratory and served as an assistant research professor of electrical and computer engineering.

Sponsored by the Computing Systems for Data-Driven Science Center

Data Science Institute Colloquium: Professor Michalis Vazirgiannis

Tuesday, April 17, 2018 - 4:00pm to 5:30pm
Columbia University
New York, NY 10025
United States

Graph based event detection in streams: the twitter case.

Due to its instantaneous nature, Twitter has been established as a major communication medium. Among others, people use the service to report latest news and to comment about real-world events. Users show particular interest in social events such as large parties, political campaigns and sporting events but also for emergency events such as natural disasters and terrorist attacks. Automated and real-time event detection in this case is an interesting challenge. We present our work on this topic capitalizing on modeling the stream as an evolving graph of words and then based on its evolution patterns detecting events. To identify important moments the system detects rapid changes in the graphs’ edge weights using a convex optimization formulation. Then we need to summarize the event in the best feasible way. We present a method that generates real-time summaries of events using only posts collected from Twitter. The system then extracts a few tweets that best describe the chain of interesting occurrences in the event using a greedy algorithm that maximizes a non-decreasing sub-modular function. Through extensive experiments on real-world sporting events, we show that the proposed system can effectively capture the sub-events, and that it clearly outperforms the dominant sub-event detection method.

Data Science Institute Colloquium: Kerstin Kleese van Dam

Tuesday, February 27, 2018 - 11:00am to 12:30pm
Schapiro Hall (CEPSR) Davis Auditorium
Columbia University
NEW YORK, NY 10027
United States

DSI Colloquium Series Event

Co-Sponsored by DSI’s Frontiers in Computing Systems Group and the Department of Applied Physics and Applied Mathematics

"Data Driven Discovery and Decision Making - A Paradigm Shift for Large Scale Experimental Science"

Kerstin Kleese van Dam
Director, Computational Science Initiative
Brookhaven National Laboratory

Abstract: New instrument technologies are enabling a new generation of in-situ and in-operando experiments, with extremely fine spatial and temporal resolution, that allows researchers to observe as physics, chemistry and biology are happening. These new methodologies go hand in hand with an exponential growth in data volumes and rates - petabyte scale data collections and terabyte/sec.

At the same time, scientists are pushing for a paradigm shift. As they can now observe processes in intricate details, they want to analyze, interpret and control those processes. Given the multitude of voluminous, heterogenous data streams involved in every single experiment, novel realtime, data-driven analysis and decision support approaches are needed to realize their vision.

Data Science Institute Colloquium: Dr. William T.C. Kramer

Tuesday, October 3, 2017 - 11:00am to 12:15pm
Schapiro Hall (CEPSR) Davis Auditorium
Columbia University
New York, NY 10027
United States

Blue Waters: A Super System for Highly Productive Frontier Science -- Experiences and Lessons Learned

Dr. William T.C. Kramer | National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign


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