====== PyLith Development Plans, Feb 2014 ====== Priorities for PyLith software development, such as new features and enhancements. This a draft for community comment (Feb 20, 2014). This plan attempts to balance meeting short-term objectives of delivering high priority, new features and meeting long-term objectives of extending the code to solve a broader range of scientific problems. ===== Version 2.0 (early March 2014) ===== **Status**: We have almost everything working. We are in the process of fixing a few bugs related to creating cohesive cells and running in parallel. - Replace C++ Sieve implementation of finite-element data structures with C DMPlex implementation. expert {{expert.png}}[99%] * DMPlex provides a simpler, more efficient implementation of the finite-element data structures that conforms to the PETSc data management (DM) interface. This provides tighter integration with the rest of PETSc. Additionally, this rewrite of the data structures results in a more efficient memory layout, resulting in better performance. - Switch from using Subversion to Git for version control. {{done.png}} - Add ability to recursively refine a mesh. {{done.png}} ===== Version 2.1 (by Jun 2014) ===== This is the version that will be available for use at the June 2014 workshop. We are behind schedule for getting multiphysics done by then, and because this is a fixed deadline, we will probably aim to get some additional less ambitious features completed. Allowing different startup cases could slip to version 2.2. - Improve fault formulation for spontaneous rupture {{intermediate.png}} [10%] * Removes inner solve associated with updating Lagrange multipliers. This will significantly accelerate the nonlinear solve. - Higher order basis functions {{expert.png}} [0%] * Allow user to select order of basis functions independent of the mesh (which defines the geometry). This permits higher resolution for a given mesh. - Reorganize top-level code to conform to layout needed for multiphysics {{difficult.png}} [0%] * Setup modular approach for specifying governing equations and computing residuals and Jacobians. - Reorganize top-level code to allow different startup cases {{intermediate.png}} [0%] * Elastic prestep * User-specified initial solution * Checkpoint via special spatial database? - Radial basis functions for spatial databases {{intermediate.png}} [0%] - Improved handling of buried fault edges {{intermediate.png}} [25%] ===== Version 2.2 (Summer/Fall 2014) ===== - Multiphysics - Incompressible elasticity via a pressure field {{difficult.png}} - Elasticity + heat flow {{difficult.png}} - Elasticity + fluid flow {{difficult.png}} - GUI interface for specifying parameters - Switch to using PETSc time-stepping (TS) algorithms. {{intermediate.png}} [0%] * Replace simple Python-based time-stepping implementations with PETSc time-stepping algorithms that provide support for higher order discretization in time and real adaptive time stepping. - Multilevel nonlinear solve ===== Version 2.3 (Spring 2015) ===== - Earthquake cycle modeling {{difficult.png}} * Same mesh for dynamic and quasi-static parts (dynamic -> quasi-static, quasi-static -> dynamic, complete cycle) - Create strain hardening/softening 2-D and 3-D Drucker-Prager elastoplastic models. {{intermediate.png}} - Moment tensor point sources via equivalent body forces {{difficult.png}} [5%] * Moment tensor point sources provide a mesh independent deformation source that is better suited for Green's function calculations than slip on a fault surface via cohesive cells. ===== Features for Future Releases ===== * Major features - Earthquake Cycle Modeling * Different meshes for dynamic and quasi-static parts {{expert.png}} * Requires interpolation of fields between different meshes/discretizations and may require extrapolation of solutions when quasi-static problems span a larger domain than the dynamic problems. - Data assimilation * Use flexibility of multiphysics organization to support inclusion of data assimilation {{expert.png}} * Minor features - Use KD tree search algorithm to allow output of time histories at an arbitrary location {{difficult.png}} - Combined prescribed slip / spontaneous rupture fault condition {{difficult.png}} * Use fault constitutive model to control slip on fault except during episodes of prescribed slip. Need some way to describe when to turn on/off prescribed slip. - Use threading to accelerate integrations on multi-core machines. {{difficult.png}}