Biblio
] , “Uncertainty-aware machine-learning enabled velocity-model building with Devito”, in 18th Annual Energy High Performance Computing Conference 2025, RICE, 2025, p. 4th Annual Devito User and Developer Workshop.
, “InvertibleNetworks.jl: A Julia package for scalable normalizing flows”, Journal of Open Source Software, vol. 9, 2024.
, “Large-scale parametric PDE approximations with model-parallel Fourier neural operators”, ML4SEISMIC Partners Meeting. 2023.
, “Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs”, Computers & Geosciences, vol. 178, p. 105402, 2023.
, “Abstractions for at-scale seismic inversion”, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
, “Accelerating innovation with software abstractions for scalable computational geophysics”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
, “Low-memory stochastic backpropagation with multi-channel randomized trace estimation”, TR-CSE-2021-1, 2021.
, “Randomized linear algebra for inversion”, ML4SEISMIC Partners Meeting. 2021.
, “Redwood – towards clusterless supercomputing in the cloud”, ML4SEISMIC Partners Meeting. 2021.
, “Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources”, in IEEE International Parallel and Distributed Processing Symposium, 2021.
, “Ultra-low memory seismic inversion with randomized trace estimation”, in SEG Technical Program Expanded Abstracts, 2021, pp. 787-791.
, “Modeling for inversion in exploration geophysics”, Georgia Institute of Technology, Atlanta, 2020.
, “Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito”, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
, “Serverless seismic imaging in the cloud”, in Rice Oil and Gas High Performance Computing Conference 2020, 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.
, “Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration”, Geoscientific Model Development, 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.
, “The student-driven HPC environment at SLIM”, in Inaugural Full-Waveform Inversion Workshop, 2015.