Mark Seager

Mark K. Seager is an Intel Fellow in the Data Center Group and the chief technology officer for the Technical Computing Group at Intel Corporation. His work focuses on the development, deployment and use of exascale high-performance computing (HPC) systems with technology based on broadly available HPC systems. Considered the next leap forward in supercomputing, exascale systems will be capable of performing a billion billion calculations per second.

Seager joined Intel in 2011 from Lawrence Livermore National Laboratory (LLNL), bringing the company 28 years of experience in parallel processing. Most recently at the research facility, he led advanced technology at the Livermore Computer Center and established his reputation as a leading mind in petascale computing system design, procurement and integration. Seager’s accomplishments during his LLNL tenure include being influential in the development of the U.S. Department of Energy Accelerated Strategic Computing Initiative’s computing and problem-solving environment strategies, including shaping the initiative’s platform strategy. He was also a founding member of OpenSFS, a consortium to provide support for Lustre on Linux for the HPC community, and served as LLNL’s representative to the OpenSFS board.

A recognized expert in the supercomputing industry, Seager has earned numerous awards for his technical contributions in the field, including the 2004 Edward Teller Fellowship Award.

Seager earned his bachelor’s degree in mathematics and astrophysics from the University of New Mexico at Albuquerque and his Ph.D. in numerical analysis from the University of Texas at Austin. He was named an Intel Fellow in 2015 and represents Intel on the OpenSFS board of directors. Seager has authored or co-authored nearly 40 publications and has made presentations at more than 50 U.S. and international conferences in the HPC arena. He is a member of the Institute of Electrical and Electronics Engineers, the Association for Computing Machinery, and the Society of Industrial and Applied Mathematics.