Dell Technologies HPC Community Event
About the Event
While the “classical” HPC workload continues to be in ever-higher demand, HPC-like workloads are beginning to infiltrate many other aspects of the computing ecosystem. Model-parallel AI workloads in vision and language are exploding, as well as the need for computing in response to pandemics and natural disasters. HPC is becoming key in medical imaging and personalized medicine, in urban traffic management, in precision agriculture, and beyond. Pervasive sensors and “cheap data” is driving demand for edge computing – and for every edge device, there is a datacenter somewhere providing computing upstream.
This talk will give an overview of the fast-evolving workloads, the modes of service required to support them, and what this means for underlying software and systems from the view of the Texas Advanced Computing Center.
About the Speaker
Dan Stanzione, Executive Director, TACC
Dr. Dan Stanzione, Associate Vice President for Research at The University of Texas at Austin since 2018 and Executive Director of the Texas Advanced Computing Center (TACC) since 2014, is a nationally recognized leader in high performance computing.
He is the principal investigator (PI) for several projects including a multimillion-dollar National Science Foundation (NSF) grant to acquire and deploy Frontera, which will be the fastest supercomputer at a U.S. university. Stanzione is also the PI of TACC's Stampede2 and Wrangler systems, supercomputers for high performance computing and for data-focused applications, respectively. He served for six years as the co-director of CyVerse, a large-scale NSF life sciences 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 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.