Presenter
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
Applications
Cancer
Compiler Analysis and Optimization
Compilers
Computational Biology
Exascale
Fault Tolerance
Heterogeneous Systems
Machine Learning
Parallel Application Frameworks
Portability
Reliability
Resiliency
Runtime Systems
Scalable Computing
Scientific Computing
Scientific Workflows
Simulation
Tools
Workflows
TP
BP Finalist
Workshop
AI
Bioinformatics
Cancer
Computational Biology
Programming Systems
W