Heaviside Composite Optimization, a new paradigm of optimization
Parthenon: a flexible framework for rapid development of performance portable multiphysics codes
Computational Science and High-Performance Computing at Lawrence Livermore National Laboratory
The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range […]
UQ for ML and ML for UQ: Why Uncertainty Quantification and Machine Learning Go Hand-in-Hand
High-Performance Computing and the Future of Big Science for Department of Energy Applications
Algorithms for Deterministically Constrained Stochastic Optimization.
THE ARPA-E GRID OPTIMIZATION COMPETITION
Bio: Allen Sanderson, Ph.D. is a Research Scientist at the University of Utah’s Scientific Computing and Imaging Institute. His interest lies in visualization and analysis of large data coming from application areas ranging from plasma physics to combustion. Recently he has focused on new ways to utilize in situ data analysis and visualization which often […]
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. […]