Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Lois Curfman McInnes Project Name: Parallel_Fusion_PDEs Division: MCS Project title: Parallel Implicit Algorithms in Edge Fusion Simulations Associated funding: DOE SciDAC program via the FACETS project (FACETS = Framework Application for Core-Edge Transport Simulations) Other Systems: MCS workstations Science: We are developing scalable algorithms for the solution of nonlinear partial differential equations that arise in the multi-institutional SciDAC FACETS (Framework Application for Core-Edge Transport Simulations) project (PI John Cary, Tech-X Corporation). This project's aim is the construction of a multiphysics, parallel framework application, FACETS, that will enable whole-device modeling for the U.S. fusion program and ITER, the next-step fusion confinement device. FACETS will be highly flexible, through use of component technology and object oriented design, to facilitate switching among models. This will enable use of simplified models for rapid turnaround or high-fidelity models to take advantage of the largest supercomputer hardware. Project description: We are developing scalable algorithms for the solution of nonlinear partial differential equations that arise in the multi-institutional SciDAC FACETS (Framework Application for Core-Edge Transport Simulations) project (PI John Cary, Tech-X Corporation). This project's aim is the construction of a multiphysics, parallel framework application, FACETS, that will enable whole-device modeling for the U.S. fusion program and ITER, the next-step fusion confinement device. FACETS will be highly flexible, through use of component technology and object oriented design, to facilitate switching among models. This will enable use of simplified models for rapid turnaround or high-fidelity models to take advantage of the largest supercomputer hardware. An integral part of the FACETS development will be the coupling of existing core and edge simulations, with the transport and wall interactions described by reduced models. Adding more detailed wall interactions will follow. In the out years, we will bring in greater coupling complexity, including the addition of near-first-principles computations of turbulent transport in the core and the edge. This development plan was created to provide early delivery of capability, with continual delivery of new capability throughout the project. Our FACETS work on scalable nonlinear solvers focuses on exploring issues in implicit Newton-based solution strategies in the edge plasma transport applications UEDGE and BOUT++ (LLNL) and the Scalable Nonlinear Equation Solvers (SNES) in the Portable, Extensible Toolkit for Scientific Computing (PETSc, ANL). We are using parallel computing resources @ fusion.lcrc.anl.gov to investigate the efficiency and robustness of various parallel algorithmic options, including different preconditioners and options for matrix-free Newton-Krylov methods. These parallel edge transport codes are now being coupled with core simulations, and we expect to perform experiments for coupled models during FY11. Project URL: http://www.facetsproject.org Current FY Hours Used: undetermined amount New FY Requested allocation: 64000 Justification: Thank You, The LCRC Accounts System