GCASR 2019‎ > ‎


Arthur B Maccabe

Computer Science and Mathematics Division Director

Oak Ridge National Laboratory

The Changing Nature of Systems Research at Oak Ridge National Laboratory

Over the past decade or so, the computer science and mathematics research programs at ORNL like many of the DOE science laboratories has focused on computation at scale.  Two trends, an increasing emphasis on data from scientific instruments and the end of Dennard scaling, are leading to a broaden of the scope for these research programs.  In this talk, I will cover some of the history that led to the relatively narrow focus on scalable high performance computing and the ways in which ORNL is approaching the broader scope, with an emphasis on systems research.

Bio: Since January 2009, Dr. Arthur B. (Barney) Maccabe has served as the director of the Computer Science and Mathematics Division at the Oak Ridge National Laboratory (ORNL).  Prior to his appointment at ORNL, he spent over twenty-five years as a member of the Computer Science Department faculty at the University of New Mexico (UNM).  He has graduated eleven PhD's and nine Master's students.  While at the University of New Mexico, Dr. Maccabe also served as the director of UNM's Center for High Performance Computing and as the university's Chief Information Officer (CIO).  His research has focused on the design and development of system software for massively parallel systems.  He was an architect for a series of lightweight operating systems for massively parallel computing systems: SUNMOS (Sandia/UNM OS) for the nCUBE 10 and Intel Paragon systems, Puma/Cougar for the first Teraflop system (the Intel Tflop System at Sandia), and more recently, Catamount for the Cray XT3 (Red Storm) System at Sandia.   Dr. Maccabe has also conducted sponsored research in a wide-range of areas, including: dependence representation for compilers, network intrusion detection, network protocol offload, lightweight file and I/O systems, system software for sensor networks, and virtualization in high end computing systems.