SIGMA

Scalable Interfaces for Geometry and Mesh-based Applications

Computational physics solvers take a continuous domain of interest, the problem geometry, and apply specialized discretizations based on the Partial Differential Equation (PDE) describing the relevant physical model. The discretization involves two components: computing a discrete mesh of the domain that accurately models the continuous geometry and defining the solution fields as degrees-of-freedom on the mesh, that needs to be computed by appropriately solving the discretized operators. The resulting single/multi component physics solutions need to be serialized back to a format amenable for visualization.

SIGMA provides interfaces and tools to access geometry data, create high quality unstructured meshes along with unified data-structures to load and manipulate parallel computational meshes for various applications to enable efficient physics solver implementations. Mesh generation is a complex problem since most problem geometries involve complicated curved surfaces that require physics imposed spatial resolution and optimized elements for good quality. These tools simplify the process of generation and handling of discrete meshes with scalable algorithms to leverage efficient usage from desktop to petascale architectures.

Link to SIGMA Project.

Vijay Mahadevan
Vijay Mahadevan
Computational Scientist

My research interests include high-order numerical methods development for modeling and simulating coupled multiphysics applications in nuclear engineering and climate science applications, through scalable HPC software implementations.