Biblio
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Author Title Type [ Year
Filters: Author is Gerard Gorman and Keyword is HPC [Clear All Filters]
“Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources”, in IEEE International Parallel and Distributed Processing Symposium, 2021.
, “Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito”, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
, “Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility”, in 4th EAGE Workshop on High-performance Computing, 2019.
, “Combining checkpointing and data compression to accelerate adjoint-based optimization problems”, Euro-Par 2019: Parallel Processing, pp. 87-100, 2019.
, “A large-scale time-domain seismic modeling and inversion workflow in Julia”, UBC, TR-EOAS-2017-1, 2017.
, “Leveraging symbolic math for rapid development of applications for seismic modeling”, in OGHPC, 2017.
, “Optimizing the computational performance of time-domain modelling–-leveraging multiple right-hand-sides”, UBC, TR-EOAS-2017-2, 2017.
, “Performance prediction of finite-difference solvers for different computer architectures”, Computers & Geosciences, vol. 105, pp. 148-157, 2017.
, “Raising the abstraction to separate concerns: enabling different physics for geophysical exploration”, in SIAM Conference on Computational Science and Engineering, 2017.
, “Devito: Towards a generic finite difference DSL using symbolic python”, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.
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