Tomas Oppelstrup
Biography
Currently a staff scientist in the Materials Science Division at the Lawrence Livermore National Laboratory, CA.
Primary interests are atomistic simulations through molecular dynamics and Monte-Carlo methods, and parallel and accelerated algorithms to reach longer time- and length-scales. Examples include exact parallelization of the kinetic Monte-Carlo method using the Time Warp discrete event simulation paradigm, and scalable and GPU accelerated implementations of the Fast Multipole Method.
Primary interests are atomistic simulations through molecular dynamics and Monte-Carlo methods, and parallel and accelerated algorithms to reach longer time- and length-scales. Examples include exact parallelization of the kinetic Monte-Carlo method using the Time Warp discrete event simulation paradigm, and scalable and GPU accelerated implementations of the Fast Multipole Method.
Presentations
Paper
Machine Learning and Artificial Intelligence
Resource Management and Scheduling
State of the Practice
TP