Scalable methods for kinetic equationsOct 19 - 23, 2015Computer Science and Math. Division, ORNL |
ABSTRACTKinetic equations are complex models of particle transport, defined on high-dimensional spaces, supporting dynamics on many scales, and often coupled to other physical models. To address these challenges, realistic simulations based on kinetic descriptions often require a combination of advanced numerical methods, high-performance computing, and keen physical insight. For this reason it is important for applied mathematicians, computational scientists, and application experts to work together to find the most effective approaches to leverage computation for scientific discovery. GOALSThe goal of this conference is to bring together applied mathematicians, computational scientists, and applications experts to discuss the challenges of simulating highly complex systems and to present recent work on or relevant to scalable methods. Topics of interest include will advanced algorithms (such as multiscale, hybrid, and multilevel approaches), algorithms that leverage heterogeneous computing platforms, and implementation issues and scientific studies using large-scale computers systems. In addition to formal presentations, time will be set aside for informal discussions on reserach and opportunites for collaboration. REGISTRATION CLOSEDORGANIZERS |
CONFIRMED PARTICIPANTSFUNDINGA limited amount of travel and local lodging is available for researchers in the early stages of their career who want to attend the full program, especially for graduate students and post-doctoral fellows. INFORMATION FOR PARTICIPANTSComputer Science and Math. Division, ORNL (ORNL) Email: hauckc@ornl.gov ACKNOWLEDGMENTFunding provided by the NSF through the KI-net Grant. |