Dr. Karl W. Schulz received his Ph.D. in Aerospace Engineering from the
University of Texas in 1999. After completing a one-year post-doc, he
transitioned to the commercial software industry working for the CD-Adapco
group as a Senior Project Engineer to develop and support engineering
software in the field of computational fluid dynamics (CFD). After several
years in industry, Karl returned to the University of Texas in 2003,
joining the research staff at the Texas Advanced Computing Center (TACC), a
leading research center for advanced computational science, engineering and
technology. During his 10-year tenure at TACC, Karl was actively engaged
in HPC research, scientific curriculum development and teaching, technology
evaluation and integration, and strategic initiatives serving on the
Center’s leadership team as an Associate Director and leading TACC’s HPC
group and Scientific Applications group during his time at TACC. He was a
Co-principal investigator on multiple Top-25 system deployments serving as
application scientist and principal architect for the cluster management
software and HPC environment. Karl also served as the Chief Software
Architect for the PECOS Center within the Institute for Computational
Engineering and Sciences (ICES), a research group focusing on the
development of next-generation software to support multi-physics
simulations and uncertainty quantification.

In 2014, Karl joined the Data Center Group at Intel working on the
architecture, development, and validation of HPC system software. Serving
as a Principal Engineer, Karl led the technical design and release of
OpenHPC, a Linux Foundation community project focused on the integration of
common building-blocks for HPC systems. He continues to be actively engaged
in this project, currently serving as the overall Project Leader.

In 2018, Karl returned to the University of Texas in an interdisciplinary
role as a Research Associate Professor within ICES and Associate Professor
of Women’s Health in the Dell Medical School.
Quantum Computing
Resource Management and Scheduling
System Software
Chair of Sessions
AI-HPC Convergence
Extreme Scale Computing
Parallel Programming Languages and Models
Runtime Systems
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