525 citations · 933 across the 19 of their papers we have counts for
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Automated MPI-X code generation for scalable finite-difference solvers
George Bisbas, Rhodri Nelson, Mathias Louboutin +3
Partial differential equations (PDEs) are crucial in modeling diverse phenomena across scientific disciplines, including seismic and medical imaging, computational fluid dynamics,…
Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources
George Bisbas, Fabio Luporini, Mathias Louboutin +3
Stencil kernels dominate a range of scientific applications, including seismic and medical imaging, image processing, and neural networks. Temporal blocking is a performance optimi…
GPU Support for Automatic Generation of Finite-Differences Stencil Kernels
Vitor Hugo Mickus Rodrigues, Lucas Cavalcante, Maelso Bruno Pereira +4
The growth of data to be processed in the Oil & Gas industry matches the requirements imposed by evolving algorithms based on stencil computations, such as Full Waveform Inversion…
Automatic Differentiation for Adjoint Stencil Loops
Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan +3
Stencil loops are a common motif in computations including convolutional neural networks, structured-mesh solvers for partial differential equations, and image processing. Stencil…