1 citations · 1 across the 3 of their papers we have counts for
3 papers
Automating GPU Scalability for Complex Scientific Models: Phonon Boltzman Transport Equation
Eric Heisler, Siddharth Saurav, Aadesh Deshmukh +3
Heterogeneous computing environments combining CPU and GPU resources provide a great boost to large-scale scientific computing applications. Code generation utilities that partitio…
Generating Finite Element Codes combining Adaptive Octrees with Complex Geometries
Eric Heisler, Cheng-Hau Yang, Aadesh Deshmukh +2
We present a high-level domain-specific language (DSL) interface to drive an adaptive incomplete -d tree-based framework for finite element (FEM) solutions to PDEs. This DSL pro…
An autoencoder compression approach for accelerating large-scale inverse problems
Jonathan Wittmer, Jacob Badger, Hari Sundar +1
PDE-constrained inverse problems are some of the most challenging and computationally demanding problems in computational science today. Fine meshes that are required to accurately…