{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# \n",
"\n",
"Here you will find a list of publications focused either on *developing*\n",
"Devito or *using* Devito.\n",
"\n",
"We love to see what the community is doing with Devito and this list\n",
"also helps build up the community. Therefore, we encourage everyone to\n",
"contribute to this list by submitting a pull request to the [Devito\n",
"website repository](https://github.com/devitocodes/devitoproject.org).\n",
"\n",
"If you are the Julia user, the team (the\n",
"developers of [JUDI](https://github.com/slimgroup/JUDI.jl)) also has\n",
"links to the GitHub repo’s with the corresponding software for all their\n",
"publications.\n",
"\n",
"If you are writing a paper, [please remember to cite\n",
"Devito](citing.qmd). Also, tag @devitocodes on twitter for a retweet!\n",
"\n",
"As part of our commitment to open science, we encourage everyone to post\n",
"preprints of papers to arXiv as they are submitted. We all know that the\n",
"peer-review process can be a slow (and sometimes painful) experience -\n",
"why not let everyone read and receive kudos for your hard work\n",
"immediately!\n",
"\n",
"## 2024\n",
"\n",
"- G. Bisbas, A. Lydike, E. Bauer, N. Brown, M. Fehr, L. Mitchell, G.\n",
" Rodriguez-Canal, M. Jameson, P. H.J. Kelly, M. Steuwer, T. Grosser.\n",
" *A shared compilation stack for distributed-memory parallelism in\n",
" stencil DSLs*. 29th ACM International Conference on Architectural\n",
" Support for Programming Languages and Operating Systems, Volume 3\n",
" (ASPLOS ’24).\n",
" [paper](https://dl.acm.org/doi/10.1145/3620666.3651344)\n",
"\n",
"- G. Bisbas, A. Lydike, E. Bauer, N. Brown, M. Fehr, L. Mitchell, G.\n",
" Rodriguez-Canal, M. Jameson, P. H.J. Kelly, M. Steuwer, T. Grosser.\n",
" *A shared compilation stack for distributed-memory parallelism in\n",
" stencil DSLs*. Poster presented at ASPLOS’24, 2024.\n",
" \\[[poster](presentations/bisbas_asplos24_poster.pdf)\\]\n",
"\n",
"- G. Bisbas, R. Nelson, M. Louboutin, P. H.J. Kelly, F. Luporini, G.\n",
" Gorman. *Automated MPI-X code generation for scalable\n",
" finite-difference solvers*. Poster presented at RICE Energy\n",
" HPC, 2024. \\[[poster](presentations/devito-mpi-poster-rice24.pdf)\\]\n",
"\n",
"## 2023\n",
"\n",
"- G. Bisbas, *Automated cache optimisations of stencil computations\n",
" for partial differential equations*. \\[[phd\n",
" thesis](https://spiral.imperial.ac.uk/handle/10044/1/105949)\\]\n",
"\n",
"- G. Bisbas, F. Luporini, R. Nelson, M. Louboutin, E. Caunt, G.\n",
" Gorman, P H.J. Kelly, *The Devito DSL and Compiler Framework: From\n",
" Symbolic PDEs to HPC Code* Presented at SIAM-CSE 2023, MS307: PDE\n",
" Simulations with High-Productivity Languages at the Dawn of\n",
" Exascale. \\[[slides](presentations/devito-mpi-cse23.pdf)\\]\n",
"\n",
"- G. Bisbas, F. Luporini, M. Louboutin, R. Nelson, G. Gorman, P H.J.\n",
" Kelly, *Automated Temporal Blocking in the Devito DSL and Compiler\n",
" framework* Presented at SIAM-CSE 2023, MS243: Stencil Computation\n",
" for Scientific Applications.\n",
" \\[[slides](presentations/devito-tb-cse23.pdf)\\]\n",
"\n",
"## 2022\n",
"\n",
"- Jean-Francois Aubry, Oscar Bates, Christian Boehm, Kim Butts Pauly,\n",
" Douglas Christensen, Carlos Cueto, Pierre Gelat, Lluis Guasch, Jiri\n",
" Jaros, Yun Jing, Rebecca Jones, Ningrui Li, Patrick Marty, Hazael\n",
" Montanaro, Esra Neufeld, Samuel Pichardo, Gianmarco Pinton, Aki\n",
" Pulkkinen, Antonio Stanziola, Axel Thielscher, Bradley Treeby, Elwin\n",
" van’t Wout *Benchmark problems for transcranial ultrasound\n",
" simulation: Intercomparison of compressional wave models*\n",
" [arxiv](https://arxiv.org/abs/2202.04552)\n",
"\n",
"- Belucci, B., 2022. Modelamento sısmico por diferenças finitas:\n",
" aplicaçao do pacote Devito para resoluçao da equaçao da onda1\n",
" (Doctoral dissertation, Universidade Estadual de Campinas).\n",
" [paper]()\n",
"\n",
"- Berti, S., Aleardi, M. and Stucchi, E., A BAYESIAN APPROACH TO\n",
" FULL-WAVEFORM INVERSION: PRELIMINARY RESULTS.\n",
" [paper](https://www.researchgate.net/profile/Sean_Berti/publication/361741746_A_BAYESIAN_APPROACH_TO_FULL-WAVEFORM_INVERSION_PRELIMINARY_RESULTS/links/62c2f42a9a17145f5f45ee05/A-BAYESIAN-APPROACH-TO-FULL-WAVEFORM-INVERSION-PRELIMINARY-RESULTS.pdf)\n",
"\n",
"- Botelho, S., Mukherjee, S., Rao, V. and Adavani, S., 2022, August.\n",
" Deep learning software accelerators for full-waveform inversion. In\n",
" Second International Meeting for Applied Geoscience & Energy\n",
" (pp. 3681-3685). Society of Exploration Geophysicists and American\n",
" Association of Petroleum Geologists.\n",
" [paper](https://library.seg.org/doi/pdf/10.1190/image2022-w17-01.1)\n",
"\n",
"- E. Caunt, R. Nelson, F. Luporini, G. Gorman *Devitoboundary: an\n",
" open-source tool for topography implementation in finite-difference\n",
" wavesolvers with Devito* Presented at [Energy High Performance\n",
" Computing at Rice University 2022](http://energyhpc.rice.edu).\n",
" \\[[slides](presentations/EHPC_edward_caunt_poster_2022_final.pdf)\\]\n",
"\n",
"- Javier Cudeiro-Blanco, Carlos Cueto, Oscar Bates, George Strong, Tom\n",
" Robins, Matthieu Toulemonde, Mike Warner, Meng-Xing Tang, Oscar\n",
" Calderón Agudo, Lluis Guasch, *Design and Construction of a\n",
" Low-Frequency Ultrasound Acquisition Device for 2-D Brain Imaging\n",
" Using Full-Waveform Inversion* Ultrasound in Medicine & Biology,\n",
" Volume 48, Issue 10, 2022, Pages 1995-2008\n",
" [paper](https://www.sciencedirect.com/science/article/pii/S0301562922004100)\n",
"\n",
"- Cueto, C., Guasch, L., Luporini, F., Bates, O., Strong, G., Agudo,\n",
" O.C., Cudeiro, J., Kelly, P., Gorman, G. and Tang, M.X., 2022,\n",
" April. Tomographic ultrasound modelling and imaging with Stride and\n",
" Devito. In Medical Imaging 2022: Ultrasonic Imaging and Tomography\n",
" (p. PC1203805). SPIE.\n",
" [paper](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/PC12038/PC1203805/Tomographic-ultrasound-modelling-and-imaging-with-Stride-and-Devito/10.1117/12.2611072.short)\n",
"\n",
"- Cueto, C., Bates, O., Strong, G., Cudeiro, J., Luporini, F., Agudo,\n",
" Ò.C., Gorman, G., Guasch, L. and Tang, M.X., 2022. Stride: A\n",
" flexible software platform for high-performance ultrasound computed\n",
" tomography. Computer Methods and Programs in Biomedicine, 221,\n",
" p.106855.\n",
" [paper](ihttps://www.sciencedirect.com/science/article/pii/S0169260722002371)\n",
"\n",
"- Dolci, D.I., Silva, F.A., Peixoto, P.S. and Volpe, E.V., 2022.\n",
" Effectiveness and computational efficiency of absorbing boundary\n",
" conditions for full-waveform inversion. Geoscientific Model\n",
" Development Discussions, pp.1-36.\n",
" [paper](https://gmd.copernicus.org/preprints/gmd-2022-48/gmd-2022-48.pdf)\n",
"\n",
"- Gorman, G., Luporini, F., St-Cyr, A., Loddoch, A., Souza, A.,\n",
" Hester, K., Witte, P., Dupros, F. and Araya, M., 2022, September.\n",
" HPC18-Open Benchmarking Platform for Data Inversion Methods. In\n",
" Sixth EAGE High Performance Computing Workshop (Vol. 2022, No. 1,\n",
" pp. 1-3). European Association of Geoscientists & Engineers.\n",
" [abstract](https://www.earthdoc.org/content/papers/10.3997/2214-4609.2022615022)\n",
"\n",
"- Thomas J Grady II and Rishi Khan and Mathias Louboutin and Ziyi Yin\n",
" and Philipp A Witte and Ranveer Chandra and Russell J Hewett and\n",
" Felix J Herrmann *Towards Large-Scale Learned Solvers for Parametric\n",
" PDEs with Model-Parallel Fourier Neural Operators* arXiv preprint\n",
" arXiv:2204.01205, 2022 [paper](https://arxiv.org/abs/2204.01205)\n",
"\n",
"- Hugues, M. and Tadepalli, S., 2022, September. HPC08-Performance and\n",
" Best Practices to Run Finite Difference Kernel in the Cloud using\n",
" Devito. In Sixth EAGE High Performance Computing Workshop (Vol.\n",
" 2022, No. 1, pp. 1-5). European Association of Geoscientists &\n",
" Engineers.\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.2022615016)\n",
"\n",
"- Jesus, L., Nogueira, P., Speglich, J. and Boratto, M., 2022. GPU\n",
" Performance analysis for viscoacoustic wave equations using fast\n",
" stencil computation from the symbolic specification.\n",
" [paper](https://www.researchsquare.com/article/rs-2039437/latest.pdf)\n",
"\n",
"- Kukreja, N., Hückelheim, J., Louboutin, M., Washbourne, J., Kelly,\n",
" P.H. and Gorman, G.J., 2022. Lossy checkpoint compression in full\n",
" waveform inversion: a case study with ZFPv0. 5.5 and the overthrust\n",
" model. Geoscientific Model Development, 15(9), pp.3815-3829.\n",
" [paper](https://gmd.copernicus.org/articles/15/3815/2022/)\n",
"\n",
"- Ladino, O.M., Pestana, R. and Souza, A., 2022, June. An Efficient\n",
" Implementation of Least-Squares Reverse Time Migration Based on\n",
" Stable Pseudo-Acoustic Tti Wave Equation. In 83rd EAGE Annual\n",
" Conference & Exhibition (Vol. 2022, No. 1, pp. 1-5). European\n",
" Association of Geoscientists & Engineers.\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.202210281)\n",
"\n",
"- Oscar López and Rajiv Kumar and Nick Moldoveanu and Felix Herrmann\n",
" *Graph spectrum based seismic survey design* arXiv preprint\n",
" arXiv:2202.04623, 2022 [paper](https://arxiv.org/abs/2202.04623)\n",
"\n",
"- Louboutin, M., Witte, P., Siahkoohi, A., Rizzuti, G., Yin, Z.,\n",
" Orozco, R. and Herrmann, F.J., 2022, August. Accelerating innovation\n",
" with software abstractions for scalable computational geophysics. In\n",
" Second International Meeting for Applied Geoscience & Energy\n",
" (pp. 1482-1486). Society of Exploration Geophysicists and American\n",
" Association of Petroleum Geologists.\n",
" [paper](https://arxiv.org/pdf/2203.15038)\n",
"\n",
"- Mathias Louboutin and F Herrmann *Enabling wave-based inversion on\n",
" GPUs with randomized trace estimation* 83rd EAGE Annual Conference &\n",
" Exhibition 2022 (1), 1-5, 2022\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.202210531)\n",
"\n",
"- Orozco, R., Louboutin, M. and Herrmann, F.J., 2022. Memory Efficient\n",
" Invertible Neural Networks for 3D Photoacoustic Imaging. arXiv\n",
" preprint arXiv:2204.11850. [paper](https://arxiv.org/pdf/2204.11850)\n",
"\n",
"- Ovadia, O., Kahana, A. and Turkel, E., 2022. A Convolutional\n",
" Dispersion Relation Preserving Scheme for the Acoustic Wave\n",
" Equation. [paper](https://arxiv.org/pdf/2205.10825)\n",
"\n",
"- Ali Siahkoohi and Mathias Louboutin and Felix J Herrmann *Velocity\n",
" continuation with Fourier neural operators for accelerated\n",
" uncertainty quantification* arXiv preprint arXiv:2203.14386, 2022\n",
" [paper](https://arxiv.org/abs/2203.14386)\n",
"\n",
"- Siahkoohi, A., Orozco, R., Rizzuti, G. and Herrmann, F.J., 2022.\n",
" Wave-equation-based inversion with amortized variational Bayesian\n",
" inference. arXiv preprint arXiv:2203.15881.\n",
" [paper](https://arxiv.org/pdf/2203.15881)\n",
"\n",
"- Siahkoohi, A., Rizzuti, G. and Herrmann, F.J., 2022. Deep Bayesian\n",
" inference for seismic imaging with tasks. Geophysics, 87(5),\n",
" pp.S281-S302.\n",
" [paper](https://library.seg.org/doi/pdf/10.1190/geo2021-0666.1?casa_token=ng8gtRxI5TEAAAAA:iXPnelqVUXZ_IuLP--lNc7PGMfj0Ra86TGBhV0ctsJJQU1qaiBoPlsmdFoddAfeKk5xiBG10qA)\n",
"\n",
"- Ali Siahkoohi and Gabrio Rizzuti and Rafael Orozco and Felix J\n",
" Herrmann *Reliable amortized variational inference with\n",
" physics-based latent distribution correction* arXiv preprint\n",
" arXiv:2207.11640, 2022 [paper](https://arxiv.org/abs/2207.11640)\n",
"\n",
"- Tong, J., Wang, X., Ren, J., Lin, M., Li, J., Sun, H., Yin, F.,\n",
" Liang, L. and Liu, Y., 2022. Transcranial Ultrasound Imaging with\n",
" Decomposition Descent Learning based Full Waveform Inversion. IEEE\n",
" Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.\n",
" [papers](https://ieeexplore.ieee.org/iel7/58/7307696/09931166.pdf?casa_token=5rEWP022pC4AAAAA:3BkZvYfLbbK3_eaCLAtAYdrYTSwQnqkcAj2hMCOzp5w6EhhjgJT0pfcddyKR4yAmGjJMP9yz)\n",
"\n",
"- Wellmann, F., Virgo, S., Escallon, D., de la Varga, M., Jüstel, A.,\n",
" Wagner, F.M., Kowalski, J., Zhao, H., Fehling, R. and Chen,\n",
" Q., 2022. Open AR-Sandbox: A haptic interface for geoscience\n",
" education and outreach. Geosphere, 18(2), pp.732-749.\n",
" [paper](https://pubs.geoscienceworld.org/gsa/geosphere/article-pdf/18/2/732/5576191/732.pdf)\n",
"\n",
"- Zhan, C., Zhang, L., Zhao, X., Lee, C.C. and Huang, S., 2022. Neural\n",
" Architecture Search for Inversion.\n",
" [paper](https://arxiv.org/pdf/2201.01772)\n",
"\n",
"- Ziyi Yin and Ali Siahkoohi and Mathias Louboutin and Felix J\n",
" Herrmann *Learned coupled inversion for carbon sequestration\n",
" monitoring and forecasting with Fourier neural operators*, 2022\n",
" [paper](https://library.seg.org/doi/abs/10.1190/image2022-3722848.1)\n",
"\n",
"## 2021\n",
"\n",
"- Ali M Alfaraj and Eric Verschuur and Felix J Herrmann *Residual\n",
" statics correction without NMO—A rank-based approach* First\n",
" International Meeting for Applied Geoscience & Energy, 2565-2569,\n",
" 2021\n",
" [paper](https://library.seg.org/doi/abs/10.1190/segam2021-3583455.1)\n",
"\n",
"- George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson,\n",
" Gerard Gorman, and Paul HJ Kelly. Temporal blocking of\n",
" finite-difference stencil operators with sparse” off-the-grid”\n",
" sources. In 2021 IEEE International Parallel and Distributed\n",
" Processing Symposium (IPDPS) (pp. 497-506). IEEE.\n",
" \\[[Proceedings](https://ieeexplore.ieee.org/abstract/document/9460483)\\]\n",
"\n",
"- G. Bisbas, F. Luporini, M. Louboutin, R. Nelson, G. Gorman, P. Kelly\n",
" *Temporal blocking for wave propagation with sparse off-the-grid\n",
" sources* Presented at [High performance computing in Oil and Gas at\n",
" Rice University 2021](http://rice2021oghpc.rice.edu/).\n",
" \\[[slides](presentations/bisbas_rice2021.pdf)\\]\n",
" \\[[video](https://www.youtube.com/watch?v=-yHL9MKla7c)\\]\n",
"\n",
"- Caunt, E., Nelson, R., Luporini, F. and Gorman, G., 2021, October.\n",
" Generalised Algorithm and Implementation of Topography Within Finite\n",
" Difference Wave Solvers. In 82nd EAGE Annual Conference & Exhibition\n",
" (Vol. 2021, No. 1, pp. 1-5). European Association of Geoscientists &\n",
" Engineers.\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.202010995)\n",
"\n",
"- E. Caunt, R. Nelson, F. Luporini, G. Gorman *A flexible, high-level\n",
" abstraction for topography implementation within finite difference\n",
" wave solvers* Presented at [High performance computing in Oil and\n",
" Gas at Rice University 2021](http://rice2021oghpc.rice.edu/).\n",
" \\[[slides](presentations/edcaunt_rice2021.pdf)\\]\n",
" \\[[video](https://www.youtube.com/watch?v=uOt4TLNabE0)\\]\n",
"\n",
"- E. Caunt, R. Nelson, F. Luporini, G. Gorman *An open-source tool for\n",
" accurate topography implementation within finite-difference wave\n",
" solvers* Presented at\n",
" [Proceedings](https://www.agu.org/Fall-Meeting).\n",
" \\[[slides](presentations/edward_caunt_agu_2021.pdf)\\]\n",
"\n",
"- Coelho, G.A.A., UMA ANÁLISE COMPARATIVA ENTRE DIFERENTES TÉCNICAS DE\n",
" INTERPOLAÇÃO APLICADAS NA FWI UTILIZANDO A DSL DEVITO.\n",
" [paper](https://doity.com.br/media/doity/submissoes/artigo-0c4ca89ef0807ecf714a4de447af1ac59bbc2137-arquivo_revisado.pdf)\n",
"\n",
"- Cueto, C., Bates, O., Strong, G., Cudeiro, J., Luporini, F., Agudo,\n",
" O.C., Gorman, G., Guasch, L. and Tang, M.X., 2021. Stride: a\n",
" flexible platform for high-performance ultrasound computed\n",
" tomography. [paper](https://arxiv.org/pdf/2110.03345)\n",
"\n",
"- Desai, A., Xu, Z., Gupta, M., Chandran, A., Vial-Aussavy, A. and\n",
" Shrivastava, A., 2021. Raw Nav-merge Seismic Data to Subsurface\n",
" Properties with MLP based Multi-Modal Information Unscrambler.\n",
" Advances in Neural Information Processing Systems, 34, pp.8740-8752.\n",
" [paper](https://proceedings.neurips.cc/paper/2021/file/498f2c21688f6451d9f5fd09d53edda7-Paper.pdf)\n",
"\n",
"- Jaimes-Osorio, L.E., Malcolm, A., Zheglova, P., Koene, E.F. and\n",
" Thomsen, H.R., 2021. Reduced memory implementation of a local\n",
" elastic finite-difference solver. Geophysics, 86(3), pp.F25-F33.\n",
" [paper](https://library.seg.org/doi/pdf/10.1190/geo2020-0468.1?casa_token=_Hz-gcBhnJ0AAAAA:uHgHAB3YuB7iqduEjOWssdxWFYDDMDqcGui4EqVdMSEtAY3DWRdA4u9omQ8jslEdjsxP_tvJtw)\n",
"\n",
"- Jaimes-Osorio, L.E. and Malcolm, A., 2021, September. Inversion\n",
" comparison using an elastic local solver to recover elastic\n",
" parameters. In First International Meeting for Applied Geoscience &\n",
" Energy (pp. 256-261). Society of Exploration\n",
" Geophysicists.[paper](https://library.seg.org/doi/abs/10.1190/segam2021-3564832.1)\n",
"\n",
"- Louboutin, M. and Herrmann, F.J., 2021, September. Ultra-low memory\n",
" seismic inversion with randomized trace estimation. In First\n",
" International Meeting for Applied Geoscience & Energy (pp. 787-791).\n",
" Society of Exploration Geophysicists.\n",
" [paper](https://arxiv.org/pdf/2104.00794)\n",
"\n",
"- F. Luporini, R. Nelson, G.Bisbas, I. Assis, K. Hester, G. Gorman,\n",
" *Devito v4.3: production-grade multi-GPU support* Presented at [High\n",
" performance computing in Oil and Gas at Rice University\n",
" 2021](http://rice2021oghpc.rice.edu/).\n",
" \\[[slides](presentations/fabio_rice2021.pdf)\\]\n",
" \\[[video](https://www.youtube.com/watch?v=AuLzp-4bjfo)\\]\n",
"\n",
"- Mathias Louboutin and Ali Siahkoohi and Rongrong Wang and Felix J\n",
" Herrmann *Low-memory stochastic backpropagation with multi-channel\n",
" randomized trace estimation* arXiv preprint arXiv:2106.06998, 2021\n",
" [paper](https://arxiv.org/abs/2106.06998)\n",
"\n",
"- Jaimes Osorio, L.E., 2021. Wavefield reconstruction, inversion and\n",
" imaging using local solvers (Doctoral dissertation, Memorial\n",
" University of Newfoundland). [phd\n",
" thesis](https://research.library.mun.ca/15229/1/thesis.pdf)\n",
"\n",
"- Rafael Orozco and Ali Siahkoohi and Gabrio Rizzuti and Tristan van\n",
" Leeuwen and Felix Johan Herrmann *Photoacoustic imaging with\n",
" conditional priors from normalizing flows* NeurIPS 2021 Workshop on\n",
" Deep Learning and Inverse Problems, 2021\n",
" [paper](https://openreview.net/forum?id=woi1OTvROO1)\n",
"\n",
"- Protopapa, L. and Cueto, C., 2021. Computationally efficient\n",
" full-waveform inversion of the brain using frequency-adaptive grids\n",
" and lossy compression. [paper](https://arxiv.org/pdf/2111.04700.pdf)\n",
"\n",
"- Qiu, L., 2021. Analysis of seismic inversion with optimal\n",
" transportation and softplus encoding. Inverse Problems, 37(9),\n",
" p.095004.\n",
" [paper](https://iopscience.iop.org/article/10.1088/1361-6420/ac1511/pdf?casa_token=krHcbCKMDtYAAAAA:s6LTBVxzwtHgYyNpRNS6K5oO9s76IVIal7Vlus4DF3L4fmdqUIsIxSPjI0Fo9jT69QR-LxLw)\n",
"\n",
"- Yuxiao Ren and Philipp A Witte and Ali Siahkoohi and Mathias\n",
" Louboutin and Ziyi Yin and Felix J Herrmann *Seismic Velocity\n",
" Inversion and Uncertainty Quantification Using Conditional\n",
" Normalizing Flows* AGU Fall Meeting 2021, 2021\n",
" [paper](https://slim.gatech.edu/Publications/Public/Conferences/AGU/2021/ren2021AGUsvi/ren2021AGUsvi_pres.pdf)\n",
"\n",
"- Ribeiro, J., Yviquel, H., Técnico-IC-PFG, R. and de Graduação,\n",
" P.F., 2021. Extending a finite difference domain-specific language\n",
" to a distributed runtime system.\n",
" [paper](https://www.ic.unicamp.br/~reltech/PFG/2021/PFG-21-30.pdf)\n",
"\n",
"- Rizzuti, G., Louboutin, M., Wang, R. and Herrmann, F.J., Time-domain\n",
" Wavefield Reconstruction Inversion for large-scale seismic\n",
" inversion.\n",
" [paper](https://slim.gatech.edu/Publications/Public/Conferences/SIAMGS/2021/rizzuti2021SIAMGSwrid/rizzuti2021SIAMGSwrid.pdf)\n",
"\n",
"- Rizzuti, G., Louboutin, M., Wang, R. and Herrmann, F.J., 2021. A\n",
" dual formulation of wavefield reconstruction inversion for\n",
" large-scale seismic inversion. Geophysics, 86(6), pp.R879-R893.\n",
" [paper](https://library.seg.org/doi/pdf/10.1190/geo2020-0743.1?casa_token=V9PChKvfefUAAAAA:wnNh3XKY3XLNSFLfKWOB7lAI_02hBsXarN9b-Ct525nBbe375yahdTPKHx94yMWY_gSgcaGpjA)\n",
"\n",
"- Roncoroni, G., Fortini, C., Bortolussi, L., Bienati, N. and Pipan,\n",
" M., 2021. Synthetic seismic data generation with deep learning.\n",
" Journal of Applied Geophysics, 190, p.104347.\n",
" [paper](https://www.sciencedirect.com/science/article/pii/S092698512100094X?casa_token=Li9cI_6hvRkAAAAA:dV4HZN9CWKOQ9KoB3xVtOjQxCgb2JvTSkK-b8wE7Mymcir-WIsTgy1u_TThZ08fvmbKOdYxf8w)\n",
"\n",
"- Hamideh Sanavi and Peyman P Moghaddam and Felix J Herrmann *True\n",
" amplitude depth migration using curvelets* Geophysics 86 (4),\n",
" S299-S310, 2021\n",
" [paper](https://library.seg.org/doi/abs/10.1190/geo2019-0307.1)\n",
"\n",
"- Shekar, B., 2021. Full waveform inversion with random shot selection\n",
" using adaptive gradient descent. Journal of Earth System Science,\n",
" 130(4), pp.1-13. [paper](https://arxiv.org/pdf/2005.09899)\n",
"\n",
"- Shin, B.S. and Shutin, D., 2021, June. ADAPT-Then-Combine Full\n",
" Waveform Inversion for Distributed Subsurface Imaging In Seismic\n",
" Networks. In ICASSP 2021-2021 IEEE International Conference on\n",
" Acoustics, Speech and Signal Processing (ICASSP) (pp. 4700-4704).\n",
" IEEE.\n",
" [paper](https://ieeexplore.ieee.org/iel7/9413349/9413350/09414072.pdf?casa_token=-ZOag9djAzcAAAAA:upoXDgSAgD76ylkQ8i42FlT8wgGOmEdW52KXYTWpNgLO5jn7QACmULvugEqeWAARPk-kl6Iv)\n",
"\n",
"- Siahkoohi, A. and Herrmann, F.J., 2021, September. Learning by\n",
" example: fast reliability-aware seismic imaging with normalizing\n",
" flows. In First International Meeting for Applied Geoscience &\n",
" Energy (pp. 1580-1585). Society of Exploration Geophysicists.\n",
" [paper](https://arxiv.org/pdf/2104.06255)\n",
"\n",
"- Ali Siahkoohi and Gabrio Rizzuti and Mathias Louboutin and Philipp A\n",
" Witte and Felix J Herrmann *Preconditioned training of normalizing\n",
" flows for variational inference in inverse problems* arXiv preprint\n",
" arXiv:2101.03709, 2021 [paper](https://arxiv.org/abs/2101.03709)\n",
"\n",
"- Sigalingging, A.S., Winardhie, I.S. and Dinanto, E., 2021.\n",
" Ekstrapolasi Frekuensi Rendah pada Full Waveform Inversion (FWI)\n",
" dengan menggunakan Deep Learning. Part 1: Validasi data Sintetik.\n",
" Jurnal Geofisika, 19(2), pp.74-79.\n",
" [paper](https://jurnal-geofisika.or.id/index.php/jurnal-geofisika/article/download/518/62)\n",
"\n",
"- J Washbourne, S Kaplan, M Merino, U Albertin, A Sekar, C Manuel, S\n",
" Mishra, M Chenette, A Loddoch *Chevron Optimization Framework for\n",
" Imaging and Inversion (Cofii)–Open-source Julia Language Framework\n",
" for Seismic Inversion*, 82nd EAGE Annual Conference & Exhibition.\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.202113077)\n",
"\n",
"- John Washbourne, Sam Kaplan, Miguel Merino, Uwe Albertin, Anusha\n",
" Sekar, Chris Manuel, Scott Mishra, Matthew Chenette, Alex Loddoch\n",
" *Chevron optimization framework for imaging and inversion (COFII)—An\n",
" open source and cloud friendly Julia language framework for seismic\n",
" modeling and inversion* First International Meeting for Applied\n",
" Geoscience & Energy\n",
" [paper](https://library.seg.org/doi/abs/10.1190/segam2021-3594362.1)\n",
"\n",
"- Xu, Z., Desai, A., Gupta, M., Chandran, A., Vial-Aussavy, A. and\n",
" Shrivastava, A., 2021. Beyond convolutions: A novel deep learning\n",
" approach for raw seismic data ingestion.\n",
" [paper](https://arxiv.org/pdf/2102.13631)\n",
"\n",
"- Yang, M., Graff, M., Kumar, R. and Herrmann, F.J., 2021. Low-rank\n",
" representation of omnidirectional subsurface extended image volumes.\n",
" Geophysics, 86(3), pp.S165-S183.\n",
" [paper](https://library.seg.org/doi/pdf/10.1190/geo2020-0152.1?casa_token=j98-85_IpDgAAAAA:rfDdlFrF-MSfQjUwt-8VTxqaPwwZb9K2hGmURiFD-NsdEs6dMR6Dy-bRkQCGsIXsaxK6_MS1ug)\n",
"\n",
"- Yin, Z., Louboutin, M. and Herrmann, F.J., 2021, October.\n",
" Compressive time-lapse seismic monitoring of carbon storage and\n",
" sequestration with the joint recovery model. In SEG/AAPG/SEPM First\n",
" International Meeting for Applied Geoscience & Energy. OnePetro.\n",
" [paper](https://arxiv.org/pdf/2104.07173)\n",
"\n",
"- Yijun Zhang and Felix J. Herrmann *Improved seismic survey design by\n",
" maximizing the spectral gap with global optimization* 2021\n",
" ML4Seismic meeting, 2021\n",
"\n",
"- Zhang, Q., Iordanescu, G., Tok, W.H., Brandsberg-Dahl, S.,\n",
" Srinivasan, H.K., Chandra, R., Kukreja, N. and Gorman, G., 2021,\n",
" September. Hyperwavve: A cloud-native solution for hyperscale\n",
" seismic imaging on Azure. In First International Meeting for Applied\n",
" Geoscience & Energy (pp. 782-786). Society of Exploration\n",
" Geophysicists.\n",
" [paper](https://library.seg.org/doi/abs/10.1190/segam2021-3594908.1)\n",
"\n",
"- Yijun Zhang and Felix J Herrmann *A practical workflow for land\n",
" seismic wavefield recovery with weighted matrix factorization*\n",
" SEG/AAPG/SEPM First International Meeting for Applied Geoscience &\n",
" Energy, 2021\n",
" [paper](https://onepetro.org/SEGAM/proceedings-abstract/IMAGE21/1-IMAGE21/D011S007R001/471235)\n",
"\n",
"## 2020\n",
"\n",
"- Ali M Alfaraj and Eric Verschuur and Felix J Herrmann\n",
" *Non-surface-consistent short-wavelength statics correction for\n",
" dense and subsampled data: A rank-based approach* SEG Technical\n",
" Program Expanded Abstracts 2020, 2784-2788, 2020\n",
" [paper](https://library.seg.org/doi/abs/10.1190/segam2020-3426918.1)\n",
"\n",
"- G. Bisbas, F. Luporini, M. Louboutin, R. Nelson, G. Gorman, P. Kelly\n",
" *Temporal blocking of finite-difference stencil operators with\n",
" sparse “off-the-grid” sources in Devito* Presented at\n",
" [Domain-Specific Languages in High-Performance Computing\n",
" 2020](https://efop362.itk.ppke.hu/conferences/from-da-to-hpc/).\n",
" \\[[slides](presentations/dsl_bisbas2020.pdf)\\]\n",
"\n",
"- Daskalakis, E., Herrmann, F.J. and Kuske, R., 2020. Accelerating\n",
" sparse recovery by reducing chatter. SIAM Journal on Imaging\n",
" Sciences, 13(3), pp.1211-1239.\n",
" [paper](https://epubs.siam.org/doi/pdf/10.1137/19M129111X?casa_token=iWhcE9OXi7YAAAAA:ZMYximdBIhrj57pzkOSgMdmj4lQj2PsYAkZ7Xcj058KdYkt_1amhWT5I2Fj63sZb-BSh04Mh5g)\n",
"\n",
"- Herrmann, J., 2020. H-revolve: a framework for adjoint computation\n",
" on synchronous hierarchical platforms. ACM Transactions on\n",
" Mathematical Software (TOMS), 46(2), pp.1-25.\n",
" [paper](https://dl.acm.org/doi/fullHtml/10.1145/3378672?casa_token=Wm53OcY0kAoAAAAA:JNGVdKdxVTZAnE-tOJSfdXJ8UHVcQGkm0YjKPOV6RagRGMlFR-J2yT0FYiYZNhr6_5FEZIft_E0W)\n",
"\n",
"- N. Kukreja. *High-performance backpropagation for structured-grid\n",
" solvers* [phd\n",
" thesis](https://spiral.imperial.ac.uk/handle/10044/1/88445)\n",
"\n",
"- Louboutin, M., 2020. Modeling for inversion in exploration\n",
" geophysics (Doctoral dissertation, Georgia Institute of Technology).\n",
" [phd\n",
" thesis](https://smartech.gatech.edu/bitstream/handle/1853/62766/LOUBOUTIN-DISSERTATION-2020.pdf?sequence=1)\n",
"\n",
"- Mathias Louboutin, Fabio Luporini, Philipp Witte, Rhodri Nelson,\n",
" George Bisbas, Jan Thorbecke, Felix J. Herrmann, Gerard Gorman.\n",
" Scaling through abstractions – high-performance vectorial wave\n",
" simulations for seismic inversion with Devito. Submitted to\n",
" Supercomputing 2020.\n",
" \\[[iarXiv:2004.10519](https://arxiv.org/abs/2004.10519)\\]\n",
"\n",
"- Louboutin, M., Rizzuti, G. and Herrmann, F.J., 2020. Time-domain\n",
" wavefield reconstruction inversion in a TTI medium.\n",
" [arXiv](https://arxiv.org/pdf/2004.07355).\n",
"\n",
"- Luporini, F., Louboutin, M., Lange, M., Kukreja, N., Witte, P.,\n",
" Hückelheim, J., Yount, C., Kelly, P.H., Herrmann, F.J. and Gorman,\n",
" G.J., 2020. Architecture and performance of Devito, a system for\n",
" automated stencil computation. ACM Transactions on Mathematical\n",
" Software (TOMS), 46(1), pp.1-28.\n",
" [paper](https://dl.acm.org/doi/pdf/10.1145/3374916?casa_token=gDHjn5LoF1wAAAAA:Ms5atC-lzk0JE8YSvY8OzCQqJu9von7TQVaN0soXszgxXODkPoLIZP82HGnREm41BIqkimoWc6a4)\n",
"\n",
"- F. Luporini, R. Nelson, M. Louboutin, G. Bisbas, E. Caunt, G. Gorman\n",
" *Devito: A DSL and compiler for automated generation of\n",
" production-grade wave propagators* Presented at [Domain-Specific\n",
" Languages in High-Performance Computing\n",
" 2020](https://efop362.itk.ppke.hu/conferences/from-da-to-hpc/).\n",
" \\[[slides](presentations/DSLinHPC-2020-devito.pdf)\\]\\[[notebook](presentations/devito-dsl.ipynb)\\]\\[[figure](presentations/operator-diagram.pdf)\\]\n",
"\n",
"- F. Luporini, G. Gorman. *Automatic code generation for GPUs using\n",
" Devito* Presented at [High performance computing in Oil and Gas at\n",
" Rice University 2020](http://rice2020oghpc.rice.edu/).\n",
" \\[[slides](presentations/rice2020-devito-gpu.pdf)\\]\n",
"\n",
"- Margenberg, N., Lessig, C. and Richter, T., 2020. Structure\n",
" preservation for the deep neural network multigrid solver.\n",
" [arXiv](https://arxiv.org/pdf/2012.05290)\n",
"\n",
"- Mosser, L., Dubrule, O. and Blunt, M.J., 2020. Stochastic seismic\n",
" waveform inversion using generative adversarial networks as a\n",
" geological prior. Mathematical Geosciences, 52(1), pp.53-79.\n",
" [paper](https://link.springer.com/article/10.1007/s11004-019-09832-6)\n",
"\n",
"- Mojica, O.F. and Maciel, J.S., 2020, October. Seismic modeling from\n",
" scratch using Devito: A demonstration with a typical Brazilian\n",
" pre-salt model. In SEG International Exposition and Annual Meeting.\n",
" OnePetro.\n",
" [paper](https://onepetro.org/SEGAM/proceedings-abstract/SEG20/3-SEG20/D031S043R003/462635)\n",
"\n",
"- Moura, F.A., Silva, S.A., de Araújo, J.M. and Lucena, L.S., 2020.\n",
" Progressive matching optimisation method for FWI. Journal of\n",
" Geophysics and Engineering, 17(2), pp.357-364.\n",
" [paper](https://academic.oup.com/jge/article/17/2/357/5728715)\n",
"\n",
"- Gabrio Rizzuti and Mathias Louboutin and Rongrong Wang and Felix J\n",
" Herrmann *Time-domain wavefield reconstruction inversion for\n",
" large-scale seismics* 82nd EAGE Annual Conference & Exhibition 2020\n",
" (1), 1-5, 2020\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.202011401)\n",
"\n",
"- Santos, H., Eikmeier, C. and Volpe, E., 2020, May. New tools for 2D\n",
" full-waveform inversion: applications on Brazilian Pre-Salt velocity\n",
" model from Santos Basin. In EGU General Assembly Conference\n",
" Abstracts (p. 21110).\n",
" [paper](https://ui.adsabs.harvard.edu/abs/2020EGUGA..2221110S/abstract)\n",
"\n",
"- Siahkoohi, A., Rizzuti, G. and Herrmann, F., 2020, December. A\n",
" deep-learning based bayesian approach to seismic imaging and\n",
" uncertainty quantification. In EAGE 2020 Annual Conference &\n",
" Exhibition Online (Vol. 2020, No. 1, pp. 1-5). European Association\n",
" of Geoscientists & Engineers.\n",
" [arxiv](https://arxiv.org/pdf/2001.04567)\n",
"\n",
"- Siahkoohi, A., Rizzuti, G. and Herrmann, F.J., 2020. Uncertainty\n",
" quantification in imaging and automatic horizon tracking—a Bayesian\n",
" deep-prior based approach. In SEG Technical Program Expanded\n",
" Abstracts 2020 (pp. 1636-1640). Society of Exploration\n",
" Geophysicists. [arxiv](https://arxiv.org/pdf/2004.00227)\n",
"\n",
"- Siahkoohi, A., Rizzuti, G. and Herrmann, F.J., 2020. Weak deep\n",
" priors for seismic imaging. In SEG Technical Program Expanded\n",
" Abstracts 2020 (pp. 2998-3002). Society of Exploration\n",
" Geophysicists. [arxiv](https://arxiv.org/pdf/2004.06835)\n",
"\n",
"- Ali Siahkoohi and Gabrio Rizzuti and Philipp A Witte and Felix J\n",
" Herrmann *Faster uncertainty quantification for inverse problems\n",
" with conditional normalizing flows* arXiv preprint arXiv:2007.07985,\n",
" 2020 [paper](https://arxiv.org/abs/2007.07985)\n",
"\n",
"- Targino, J., Roberts, K., Souza, J., Santos, H., Senger, H.,\n",
" Gioria, R. and Gomi, E., 2020, September. A Deep-Learning inversion\n",
" method for seismic velocity model building. In First EAGE Conference\n",
" on Machine Learning in Americas (Vol. 2020, No. 1, pp. 1-5).\n",
" European Association of Geoscientists & Engineers.\n",
" [paper](https://www.researchgate.net/profile/Hermes-Senger/publication/348528486_A_Deep-Learning_inversion_method_for_seismic_velocity_model_building/links/615615c661a8f466708fba72/A-Deep-Learning-inversion-method-for-seismic-velocity-model-building.pdf)\n",
"\n",
"- Witte, P.A., Louboutin, M., Modzelewski, H., Jones, C., Selvage, J.\n",
" and Herrmann, F.J., 2020. An event-driven approach to serverless\n",
" seismic imaging in the cloud. IEEE Transactions on Parallel and\n",
" Distributed Systems, 31(9), pp.2032-2049.\n",
" [paper](https://ieeexplore.ieee.org/iel7/71/4359390/09044390.pdf?casa_token=m_-kCm-0--IAAAAA:A87bsWxaiHmnWNystClEI3pUFmAp0z1XxTtfzagkTixnR-975j-l6DovIrktJm4oEuz3ap2F)\n",
"\n",
"- Yang, M., 2020. Seismic imaging with extended image volumes and\n",
" source estimation (Doctoral dissertation, Georgia Institute of\n",
" Technology). [phd\n",
" thesis](https://smartech.gatech.edu/bitstream/handle/1853/62832/YANG-DISSERTATION-2020.pdf?sequence=1)\n",
"\n",
"- Mengmeng Yang and Zhilong Fang and Philipp Witte and Felix J\n",
" Herrmann *Time‐domain sparsity promoting least‐squares reverse time\n",
" migration with source estimation* Geophysical Prospecting 68 (9),\n",
" 2697-2711, 2020\n",
" [paper](https://www.earthdoc.org/content/journals/10.1111/1365-2478.13021)\n",
"\n",
"- Yin, Z., Orozco, R., Witte, P., Louboutin, M., Rizzuti, G. and\n",
" Herrmann, F.J., 2020. Extended source imaging—A unifying framework\n",
" for seismic and medical imaging. In SEG Technical Program Expanded\n",
" Abstracts 2020 (pp. 3502-3506). Society of Exploration\n",
" Geophysicists. [arxiv](https://arxiv.org/pdf/2004.07389)\n",
"\n",
"- Zhan, C., Lee, C.C., Zhang, L. and Chang, Y., 2020. An attempt to\n",
" decode reverse-time migration through machine learning. In SEG\n",
" Technical Program Expanded Abstracts 2020 (pp.1681-1685). Society of\n",
" Exploration Geophysicists.\n",
" [paper](https://library.seg.org/doi/abs/10.1190/segam2020-3422819.1)\n",
"\n",
"- Mi Zhang and Ali Siahkoohi and Felix J Herrmann *Transfer learning\n",
" in large-scale ocean bottom seismic wavefield reconstruction* SEG\n",
" International Exposition and Annual Meeting, 2020\n",
" [paper](https://onepetro.org/SEGAM/proceedings-abstract/SEG20/3-SEG20/D031S058R003/462549)\n",
"\n",
"- Yijun Zhang and Shashin Sharan and Oscar Lopez and Felix J Herrmann\n",
" *Wavefield recovery with limited-subspace weighted matrix\n",
" factorizations* SEG International Exposition and Annual Meeting,\n",
" 2020\n",
" [paper](https://onepetro.org/SEGAM/proceedings-abstract/SEG20/3-SEG20/D031S044R006/462655)\n",
"\n",
"## 2019\n",
"\n",
"- AM Alfaraj and M Almubarak and FJ Herrmann *Correcting for\n",
" short-wavelength statics with low rank approximation* 81st EAGE\n",
" Conference and Exhibition 2019 2019 (1), 1-5, 2019\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.201901205)\n",
"\n",
"- Assis, I.A.S.D., 2019. Intra-node and Inter-node load balancing and\n",
" other scalable approaches for high-performance seismic processing.\n",
" [paper](https://repositorio.ufrn.br/bitstream/123456789/28353/1/Intranodeinternode_Assis_2019.pdf)\n",
"\n",
"- Aupy, G. and Herrmann, J., 2019. H-Revolve: a framework for adjoint\n",
" computation on synchrone hierarchical platforms.\n",
" [paper](https://project.inria.fr/dash/files/2019/06/hrevolve.pdf)\n",
"\n",
"- G. Bisbas, F. Luporini, M. Louboutin, G. Gorman, and P. H.J. Kelly.\n",
" *Accelerating real-world stencil computations using temporal\n",
" blocking: handling sparse sources and receivers*. Poster presented\n",
" at SC19, 2019,\n",
" \\[[paper](https://sc19.supercomputing.org/proceedings/src_poster/poster_files/spostg116s2-file2.pdf),\n",
" [poster](https://sc19.supercomputing.org/proceedings/src_poster/poster_files/spostg116s2-file1.pdf)\\]\n",
"\n",
"- Caunt, E., 2019, June. Spatially-Optimized Finite-Difference Schemes\n",
" for Numerical Dispersion Suppression: an Implementation Using\n",
" Symbolic Computation. In 81st EAGE Conference and Exhibition 2019\n",
" (Vol. 2019, No. 1, pp. 1-5). European Association of Geoscientists &\n",
" Engineers.\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.201900660?crawler=true)\n",
"\n",
"- Caunt, E., 2021. Spatially-optimized finite-difference schemes for\n",
" numerical dispersion suppression in seismic applications. [MSci\n",
" thesis](https://arxiv.org/pdf/2107.13525)\n",
"\n",
"- Curt Da Silva and Felix Herrmann *A unified 2D/3D large-scale\n",
" software environment for nonlinear inverse problems* ACM\n",
" Transactions on Mathematical Software (TOMS) 45 (1), 1-35, 2019\n",
" [paper](https://dl.acm.org/doi/abs/10.1145/3291042)\n",
"\n",
"- Devoti, F., Parera, C., Lieto, A., Moro, D., Lipari, V.,\n",
" Bestagini, P. and Tubaro, S., 2019, September. Wavefield compression\n",
" for seismic imaging via convolutional neural networks. In SEG\n",
" International Exposition and Annual Meeting. OnePetro.\n",
" [paper](https://re.public.polimi.it/bitstream/11311/1171203/1/SEG_Wavefield_Compression.pdf)\n",
"\n",
"- Tim Eipert and Felix Herrmann and Christoph Wick and Frank Puppe and\n",
" Andreas Haug *Editor support for digital editions of medieval\n",
" monophonic music* Proceedings of the 2nd International Workshop on\n",
" Reading Music Systems, 4-7, 2019\n",
" [paper](https://www.academia.edu/download/61176530/worms-2019-proceedings-monodi20191110-82221-g4tcw9.pdf)\n",
"\n",
"- EINSIEDLER, H.C., COMPARAÇÃO DE MÉTODOS DE OTIMIZAÇÃO PARA SOLUÇÃO\n",
" DO PROBLEMA DE INVERSÃO DA FORMA DE ONDA COMPLETA.\n",
" [paper](http://dot.uff.br/wp-content/uploads/sites/476/2021/08/328-DISSERT-Hans-2019.pdf)\n",
"\n",
"- Felix J Herrmann and Ali Siahkoohi and Gabrio Rizzuti *Learned\n",
" imaging with constraints and uncertainty quantification* arXiv\n",
" preprint arXiv:1909.06473, 2019\n",
" [paper](https://arxiv.org/abs/1909.06473)\n",
"\n",
"- J. Hückelheim, N. Kukreja, SHK Narayanan, F. Luporini, G. Gorman, P.\n",
" Hovland *Automatic Differentiation for Adjoint Stencil Loops*\n",
" Presented at [International Conference on Parallel\n",
" Programming](https://www.hpcs.cs.tsukuba.ac.jp/icpp2019/).\n",
" \\[[slides](presentations/ICPP_2019_presentation.pdf)\\]\n",
"\n",
"- N. Kukreja, J. Hückelheim, M. Louboutin, F. Luporini, P. Kelly, P.\n",
" Hovland, G. J. Gorman *Inversion with Devito: Trading off memory and\n",
" compute with PyRevolve* Presented at [STMI Workshop at\n",
" USP](https://www.rcgi.poli.usp.br/stmi-workshop-2019/).\n",
" \\[[slides](presentations/USP_PyRevolve.pdf)\\]\n",
"\n",
"- Kukreja, N., Hückelheim, J., Louboutin, M., Hovland, P. and Gorman,\n",
" G., 2019, August. Combining checkpointing and data compression to\n",
" accelerate adjoint-based optimization problems. In European\n",
" Conference on Parallel Processing (pp. 87-100). Springer,\n",
" Cham.[paper](https://arxiv.org/pdf/1810.05268)\n",
"\n",
"- Rajiv Kumar and Marie Graff and Ivan Vasconcelos and Felix J\n",
" Herrmann *Target‐oriented imaging using extended image volumes: a\n",
" low‐rank factorization approach* Geophysical Prospecting 67 (5),\n",
" 1312-1328, 2019\n",
" [paper](https://www.earthdoc.org/content/journals/10.1111/1365-2478.12779)\n",
"\n",
"- Rajiv Kumar and Bram Willemsen and Felix J Herrmann and Alison\n",
" Malcolm *Enabling numerically exact local solver for waveform\n",
" inversion—A low-rank approach* Computational Geosciences 23 (4),\n",
" 829-847, 2019\n",
" [paper](https://link.springer.com/article/10.1007/s10596-019-09832-9)\n",
"\n",
"- F. Luporini, R. Nelson, M. Louboutin, N. Kukreja, G. Bisbas, P.\n",
" Witte, Amik St-Cyr, C. Yount, T. Burgess, F. Herrmann, G. Gorman\n",
" *Automatic Generation of Production-Grade Hybrid MPI-OpenMP Parallel\n",
" Wave Propagators using Devito* Presented at [Platform for Advanced\n",
" Scientific Computing (PASC 2019)\n",
" Conference](https://pasc19.pasc-conference.org).\n",
" \\[[slides](presentations/pasc2019_luporini.pdf)\\]\n",
"\n",
"- Fabio Luporini, Mathias Louboutin, Michael Lange, Navjot Kukreja,\n",
" Jan Hückelheim, Charles Yount, Philipp Witte, Paul H. J. Kelly,\n",
" Felix J. Herrmann, Gerard J. Gorman. Architecture and performance of\n",
" Devito, a system for automated stencil computation. Accepted to ACM\n",
" Transactions on Mathematical Software (submitted August 2019)\n",
" \\[[Proceedings](https://dl.acm.org/doi/10.1145/3374916)\\]\n",
"\n",
"- Luporini, F., Nelson, R., Burgess, T., St-Cyr, A. and Gorman, G.,\n",
" 2019, October. Automated Distributed-memory Parallelism from\n",
" Symbolic Specification in Devito. In Fourth EAGE Workshop on High\n",
" Performance Computing for Upstream 2019 (Vol. 2019, No. 1, pp. 1-5).\n",
" European Association of Geoscientists & Engineers.\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.201903282)\n",
"\n",
"- Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja,\n",
" Philipp A. Witte, Felix J. Herrmann, Paulius Velesko and Gerard J.\n",
" Gorman Devito (v3.1.0): an embedded domain-specific language for\n",
" finite differences and geophysical exploration. Geoscientific Model\n",
" Development, Volume 12, p 1165-1187, 2019\n",
" \\[[paper](https://doi.org/10.5194/gmd-12-1165-2019)\\]\n",
"\n",
"- Jaimes-Osorio, L.E., Malcolm, A., Zheglova, P. and Koene, E., Making\n",
" any elastic modelling code into a local elastic solver.\n",
" [paper](https://geoconvention.com/wp-content/uploads/abstracts/2020/53831-making-any-elastic-modelling-code-into-a-local-ela-01.pdf)\n",
"\n",
"- V. H. Mickus-Rodrigues, L. Cavalcante, M. B. Pereira, F.\n",
" Luporini, I. Reguly, G. Gorman, S. Xavier-de-Souza. *GPU Support for\n",
" Automatic Generation of Finite-Differences Stencil Kernels*\n",
" Presented at [Latin America High Performance Computing\n",
" 2019](https://www.carla2019.org/).\n",
" \\[[arXiv](https://arxiv.org/abs/1912.00695)\\].\n",
" \\[[slides](presentations/devito-ops-carla2019.pdf)\\]\n",
"\n",
"- Mojica, O.F. and Kukreja, N., 2019. Towards automatically building\n",
" starting models for full-waveform inversion using global\n",
" optimization methods: A PSO approach via DEAP+ Devito. In SEG\n",
" Technical Program Expanded Abstracts 2019 (pp. 5174-5178). Society\n",
" of Exploration Geophysicists.\n",
" [paper](https://arxiv.org/pdf/1905.12795)\n",
"\n",
"- Nelson, R., Luporini, F. and Gorman, G., 2019, December. Immersed\n",
" Boundary Finite-Difference Methods for Seismic Wave Propagation\n",
" Modelling: an Implementation Using Symbolic Computation in Devito.\n",
" In AGU Fall Meeting Abstracts (Vol. 2019, pp. T52C-10).\n",
"\n",
"- V. Pandolfo. *Investigating the OPS intermediate representation to\n",
" target GPUs in the Devito DSL*\n",
" [arXiv](https://arxiv.org/abs/1906.10811)\n",
"\n",
"- Peters, B. and Herrmann, F.J., 2019. Algorithms and software for\n",
" projections onto intersections of convex and non-convex sets with\n",
" applications to inverse problems.\n",
" [paper](https://arxiv.org/pdf/1902.09699)\n",
"\n",
"- Bas Peters and Felix J Herrmann *Generalized Minkowski sets for the\n",
" regularization of inverse problems* arXiv preprint arXiv:1903.03942,\n",
" 2019 [paper](https://arxiv.org/abs/1903.03942)\n",
"\n",
"- Bas Peters and Brendan R Smithyman and Felix J Herrmann *Projection\n",
" methods and applications for seismic nonlinear inverse problems with\n",
" multiple constraints* Geophysics 84 (2), R251-R269, 2019\n",
" [paper](https://library.seg.org/doi/abs/10.1190/geo2018-0192.1)\n",
"\n",
"- Rizzuti, G., Louboutin, M., Wang, R., Daskalakis, E. and Herrmann,\n",
" F., 2019, September. A dual formulation for time-domain wavefield\n",
" reconstruction inversion. In SEG International Exposition and Annual\n",
" Meeting. OnePetro.\n",
" [slides](https://pdfs.semanticscholar.org/41c6/6ce50625c866635813c0aab5ac61d9174038.pdf)\n",
"\n",
"- Gabrio Rizzuti and Ali Siahkoohi and Felix J Herrmann *Learned\n",
" iterative solvers for the Helmholtz equation* 81st EAGE Conference\n",
" and Exhibition 2019 2019 (1), 1-5, 2019\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.201901542)\n",
"\n",
"- Rodrigues, V.H.M., Cavalcante, L., Pereira, M.B., Luporini, F.,\n",
" Reguly, I., Gorman, G. and Souza, S.X.D., 2019, September. GPU\n",
" Support for Automatic Generation of Finite-Differences Stencil\n",
" Kernels. In Latin American High Performance Computing Conference\n",
" (pp. 230-244). Springer, Cham.\n",
" [paper](https://arxiv.org/pdf/1912.00695)\n",
"\n",
"- H. Senger, J. F. de Souza, E.S. Gomi, F. Luporini, and G. Gorman.\n",
" *Performance of Devito on HPC-Optimised ARM Processors*. Poster\n",
" presented at SC19, 2019,\n",
" \\[[paper](https://arxiv.org/pdf/1908.03653.pdf),\n",
" [poster](https://sc19.supercomputing.org/proceedings/tech_poster/poster_files/rpost233s2-file2.pdf),[summary](https://sc19.supercomputing.org/proceedings/tech_poster/poster_files/rpost233s2-file3.pdf)\\]\n",
"\n",
"- Siahkoohi, A., Louboutin, M. and Herrmann, F.J., 2019. Neural\n",
" network augmented wave-equation simulation.\n",
" [arXiv](https://arxiv.org/pdf/1910.00925)\n",
"\n",
"- Siahkoohi, A., Louboutin, M. and Herrmann, F.J., 2019. The\n",
" importance of transfer learning in seismic modeling and imaging.\n",
" Geophysics, 84(6), pp.A47-A52.\n",
" [paper](https://library.seg.org/doi/full/10.1190/geo2019-0056.1?casa_token=1YBQbc1BVTcAAAAA:WFPExqnA89JWzkSHGejjqPjlSH6wqOnQr-mLBUzj8Ru-l_QMxow7XZ6p_Ruwf2i0YH0h5E2SYA)\n",
"\n",
"- Ali Siahkoohi and Dirk J Verschuur and Felix J Herrmann\n",
" *Surface-related multiple elimination with deep learning* SEG\n",
" International Exposition and Annual Meeting, 2019\n",
" [paper](https://onepetro.org/SEGAM/proceedings-abstract/SEG19/4-SEG19/D043S151R005/105531)\n",
"\n",
"- Ali Siahkoohi and Rajiv Kumar and Felix J Herrmann *Deep-learning\n",
" based ocean bottom seismic wavefield recovery* SEG Technical Program\n",
" Expanded Abstracts 2019, 2232-2237, 2019\n",
" [paper](https://library.seg.org/doi/abs/10.1190/segam2019-3216632.1)\n",
"\n",
"- Silva, C.D. and Herrmann, F., 2019. A unified 2D/3D large-scale\n",
" software environment for nonlinear inverse problems. ACM\n",
" Transactions on Mathematical Software (TOMS), 45(1), pp.1-35.\n",
" [paper](https://dl.acm.org/doi/pdf/10.1145/3291042?casa_token=6fJW6fnogboAAAAA:1GZ5x5x8ExFZnhAWuxz5qNYJR1B2Viflja6YK23rKneSwycMmVTgpnrrn10kOlSoCJxIwCg1vh-o)\n",
"\n",
"- Shashin Sharan and Rongrong Wang and Felix J Herrmann *Fast\n",
" sparsity-promoting microseismic source estimation* Geophysical\n",
" Journal International 216 (1), 164-181, 2019\n",
" [paper](https://academic.oup.com/gji/article-abstract/216/1/164/5123712)\n",
"\n",
"- Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini,\n",
" Michael Lange, Gerard J. Gorman, Felix J. Herrmann. A large-scale\n",
" framework for symbolic implementations of seismic inversion\n",
" algorithms in Julia. In Geophysics, Volume 84, Issue 3, May 2019.\n",
" \\[[proceedings](https://library.seg.org/doi/abs/10.1190/geo2018-0174.1)\\]\n",
"\n",
"- Witte, P.A., Louboutin, M., Jones, C. and Herrmann, F.J., 2019.\n",
" Serverless seismic imaging in the cloud. arXiv preprint\n",
" arXiv:1911.12447.\n",
" [paper](https://www.researchgate.net/profile/Philipp-Witte/publication/337632642_Serverless_seismic_imaging_in_the_cloud/links/5de142faa6fdcc2837f6bb2f/Serverless-seismic-imaging-in-the-cloud.pdf)\n",
"\n",
"- Philipp A. Witte, Mathias Louboutin, Fabio Luporini, Gerard J.\n",
" Gorman, Felix J. Herrmann. Compressive least-squares migration with\n",
" on-the-fly Fourier transforms. Accepted for publication in\n",
" Geophysics on April 14, 2019.\n",
" [paper](https://pubs.geoscienceworld.org/geophysics/article/84/5/R655/573176/Compressive-least-squares-migration-with-on-the?casa_token=6fnXGR5bd1gAAAAA%3aFmi78sHb9LFReDbxeVRiAvTaqb4QIhnEoEDfN95sLwhI9-PvirJheGYeYBaLMgpuHEy0WSw)\n",
"\n",
"- Witte, P.A., Louboutin, M., Modzelewski, H., Jones, C., Selvage, J.\n",
" and Herrmann, F.J., 2019. Event-driven workflows for large-scale\n",
" seismic imaging in the cloud. In SEG Technical Program Expanded\n",
" Abstracts 2019 (pp. 3984-3988). Society of Exploration\n",
" Geophysicists.\n",
" [paper](https://pdfs.semanticscholar.org/cb0a/80a6efba0f220386afe56733ad72c281a630.pdf)\n",
"\n",
"- Yang, M., Graff, M., Kumar, R. and Herrmann, F.J., 2019, September.\n",
" Low-rank representation of subsurface extended image volumes with\n",
" power iterations. In SEG International Exposition and Annual\n",
" Meeting. OnePetro.\n",
" [slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2019/yang2019SEGlrr/yang2019SEGlrr_pres.pdf)\n",
"\n",
"- Yijun Zhang and Shashin Sharan and Felix J Herrmann *High-frequency\n",
" wavefield recovery with weighted matrix factorizations* SEG\n",
" Technical Program Expanded Abstracts 2019, 3959-3963, 2019\n",
" [paper](https://library.seg.org/doi/abs/10.1190/segam2019-3215103.1)\n",
"\n",
"## 2018\n",
"\n",
"- Gorman, G., Luporini, F., Kukreja, N., Louboutin, M., St-Cyr, A.,\n",
" Souza, B. and Herrmann, F., 2018, September. Devito: Fast and\n",
" Scalable Full-Waveform Inversion Without the Excruciating Pain. In\n",
" First EAGE Workshop on High Performance Computing for Upstream in\n",
" Latin America (Vol. 2018, No. 1, pp. 1-1). European Association of\n",
" Geoscientists & Engineers.\n",
" [paper](https://www.earthdoc.org/content/papers/10.3997/2214-4609.201803085)\n",
"\n",
"- Felix .J. Herrmann, Gerard Gorman, Jan Hückelheim, Keegan Lensink,\n",
" Paul Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange,\n",
" Mathias Louboutin, Fabio Luporini, Ali SiahKoohi, Phillipp Witte\n",
" *The power of abstraction in Computational Exploration Seismology*\n",
" Presented at [Smoky Mountains Computational Sciences & Engineering\n",
" Conference](https://smc.ornl.gov/).\n",
" \\[[slides](presentations/SMC2018.pdf)\\]\n",
"\n",
"- N. Kukreja, J. Hückelheim, M. Lange, M. Louboutin, A. Walther, S. W.\n",
" Funke, G. J. Gorman *High-level abstractions for checkpointing in\n",
" PDE-constrained optimisation* Presented at [International Symposium\n",
" for Mathematic Programming](https://ismp2018.sciencesconf.org).\n",
" \\[[slides](presentations/ismp18_kukreja.pdf),\n",
" [paper](https://arxiv.org/pdf/1802.02474.pdf)\\]\n",
"\n",
"- Kukreja, N., Huckelheim, J., Louboutin, M., Hou, K., Luporini, F.,\n",
" Hovland, P. and Gorman, G., 2018. Combining checkpointing and data\n",
" compression for large scale seismic inversion.\n",
" [paper](https://spiral.imperial.ac.uk/bitstream/10044/1/72609/8/Combining%20checkpointing%20and%20data%20compression%20for%20large%20scale%20seismic%20inversion.pdf)\n",
"\n",
"- Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja,\n",
" Fabio Luporini, Gerard Gorman, and Felix J. Herrmann. Full-waveform\n",
" inversion - Part 2: adjoint modeling. The Leading Edge, Volume 37,\n",
" Issue 1 (January 2018)\n",
" \\[[notebook](https://github.com/seg/tutorials-2018/tree/master/1801_FWI_Adjoint_modeling)\\]\n",
" \\[[paper](https://library.seg.org/doi/abs/10.1190/tle37010069.1)\\]\n",
"\n",
"- Louboutin, M., Witte, P. and Herrmann, F.J., 2018. Effects of wrong\n",
" adjoints for RTM in TTI media. In SEG Technical Program Expanded\n",
" Abstracts 2018 (pp. 331-335). Society of Exploration Geophysicists.\n",
" [paper](https://www.researchgate.net/profile/Mathias-Louboutin/publication/324216854_Effects_of_wrong_adjoints_for_RTM_in_TTI_media/links/5bcf9c6e4585152b145101a2/Effects-of-wrong-adjoints-for-RTM-in-TTI-media.pdf)\n",
"\n",
"- F. Luporini, C. Yount, M. Louboutin, N. Kukreja, P. Witte, T.\n",
" Burges, M. Lange, P.H .J . Kelly, F. Herrmann, G. Gorman *Automated\n",
" loop generation for high-performance finite differences (and\n",
" beyond)* Presented at\n",
" [Dagstuhl](https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18111).\n",
" \\[[slides](presentations/dagstuhl.pdf)\\]\n",
"\n",
"- F. Luporini, C. Yount, M. Louboutin, N. Kukreja, P. Witte, M.\n",
" Lange, P. Kelly, F. Herrmann, G. Gorman. *Devito: Automated\n",
" high-performance finite differences for geophysics exploration.*\n",
" Presented at [IXPUG Europe Spring\n",
" 2018](https://www.ixpug.org/events/spring2018).\n",
" \\[[slides](https://www.ixpug.org/images/docs/IXPUG_Annual_Spring_Conference_2018/04-LUPORINI-Devito.pdf)\\]\n",
"\n",
"- Sharan, S., Kumar, R., Dumani, D.S., Louboutin, M., Wang, R.,\n",
" Emelianov, S. and Herrmann, F.J., 2018, October. Sparsity-promoting\n",
" photoacoustic imaging with source estimation. In 2018 IEEE\n",
" International Ultrasonics Symposium (IUS) (pp. 206-212). IEEE.\n",
" [paper](https://www.researchgate.net/profile/Rajiv-Kumar-20/publication/328160100_Sparsity-Promoting_Photoacoustic_Imaging_with_Source_Estimation/links/5bbc0d3a4585159e8d8d24d4/Sparsity-Promoting-Photoacoustic-Imaging-with-Source-Estimation.pdf)\n",
"\n",
"- N. Sim. *Optimising finite-difference methods for PDEs through\n",
" parameterised time-tiling in Devito*\n",
" [arXiv](https://arxiv.org/abs/1806.08299)\n",
"\n",
"- Philipp A. Witte, Mathias Louboutin, Michael Lange, Navjot Kukreja,\n",
" Fabio Luporini, Gerard Gorman, and Felix J. Herrmann. Full-waveform\n",
" inversion - Part 3: inversion. The Leading Edge, Volume 37, Issue 2\n",
" (January 2018)\n",
" \\[[notebook](https://github.com/seg/tutorials-2018/tree/master/1802_FWI_Inversion)\\]\n",
" \\[[paper](https://library.seg.org/doi/abs/10.1190/tle37020142.1)\\]\n",
"\n",
"## 2017\n",
"\n",
"- G. Gorman, M. Lange, F. Luporini, M. Louboutin, N. Kukreja, P.\n",
" Witte, C. Yount, F. Herrmann. *Automatic code generation -\n",
" developing high performance propagators better, faster and cheaper.*\n",
" Presented at EAGE 2017.\n",
" \\[[slides](presentations/devito-eage17-overview.pdf)\\]\n",
"\n",
"- J. Hückelheim, Z. Luo, F. Luporini, N. Kukreja, M. Lange, G.\n",
" Gorman, S. Siegel, M. Dwyer, P. Hovland. *Towards Self-Verification\n",
" in Finite Difference Code Generation.* Accepted for publication in\n",
" In Proceedings of Correctness’17: First International Workshop on\n",
" Software Correctness for HPC Applications (Correctness’17). ACM, New\n",
" York, NY \\[[paper](https://doi.org/10.1145/3145344.3145488)\\]\n",
"\n",
"- N. Kukreja, M. Lange, M. Louboutin, F. Luporini and G. Gorman.\n",
" *Symbolic Math for Automated Fast Finite Difference Computations*\n",
" Presented at SIAM-CSE 2017, MS84 Domain-Specific Abstractions for\n",
" Full-Waveform Inversion.\n",
" \\[[slides](presentations/Mon-16-50-Kukreja.pdf)\\]\n",
"\n",
"- N. Kukreja, M. Lange, M. Louboutin, F. Luporini, J. Hückelheim, P.\n",
" Witte, C. Yount, F. Herrmann, G. Gorman *Rapid development of\n",
" seismic imaging applications using symbolic mathematics* Presented\n",
" at [Third EAGE Workshop on High Performance Computing for\n",
" Upstream](https://events.eage.org/en/2017/third-eage-workshop-on-high-performance-computing-for-upstream)[\\[slides\\]](presentations/eage_hpc_kukreja.pdf)\n",
"\n",
"- N. Kukreja, M. Louboutin, F. Luporini, P. Witte, M. Lange, F.\n",
" Herrmann and G. Gorman. *Leveraging symbolic math for rapid\n",
" development of applications for seismic imaging* Presented at High\n",
" performance computing in Oil and Gas at Rice University 2017.\n",
" \\[[slides](presentations/devito-rice-navjot.pdf)\\]\n",
"\n",
"- Kumar, R., Wason, H., Sharan, S. and Herrmann, F.J., 2017. Highly\n",
" repeatable 3D compressive full-azimuth towed-streamer time-lapse\n",
" acquisition—A numerical feasibility study at scale. The Leading\n",
" Edge, 36(8), pp.677-687.\n",
" [paper](https://library.seg.org/doi/pdf/10.1190/tle36080677.1?casa_token=vXmBe_bs3c4AAAAA:MFZV71z-jOM-Jxrpm-BwkQmL10Dzxvj6eSiDZezZNdQhH_vxiaPt_kgt7zDvi7gc0nnk3TvX2A)\n",
"\n",
"- M. Lange, N. Kukreja, M. Louboutin, F. Luporini, F. Vieira, V.\n",
" Pandolfo, P. Velesko, P. Kazakas and G. Gorman. *Devito: Towards an\n",
" efficient and sustainable finite difference DSL*. Poster presented\n",
" at SIAM CSE17 PP108 Minisymposterium: Software Productivity and\n",
" Sustainability for CSE and Data Science, 2017\n",
" [poster](https://doi.org/10.6084/m9.figshare.4684852.v1)\n",
"\n",
"- M. Lange, N. Kukreja, F. Luporini, M. Louboutin, C. Yount, J.\n",
" Hückelheim and G. Gorman. *Optimised finite difference computation\n",
" from symbolic equations.* Accepted for publication in Proceedings of\n",
" the 15th Python in Science Conference, 2017.\n",
" \\[[accepted](http://conference.scipy.org/proceedings/scipy2017/michael_lange.html)\\]\n",
" \\[[arxiv](http://arxiv.org/abs/1707.03776)\\]\n",
"\n",
"- M. Lange, N. Kukreja, F. Luporini, M. Louboutin, C. Yount, J.\n",
" Hückelheim and G. Gorman. *Optimised finite difference computation\n",
" from symbolic equations.* Presented at [SciPy\n",
" 2017](https://scipy2017.scipy.org).\n",
" \\[[paper](https://arxiv.org/pdf/1707.03776.pdf),\n",
" [slides](presentations/devito-scipy17.pdf)\\],\n",
" \\[[video](https://youtu.be/KinmqFTEs94)\\]\n",
"\n",
"- M. Louboutin, M. Lange, N. Kukreja, F. Herrmann, and G. Gorman.\n",
" *Performance prediction of finite-difference solvers for different\n",
" computer architectures*. Computers & Geosciences 105 (2017):\n",
" 148-157.\n",
" [paper](http://www.sciencedirect.com/science/article/pii/S0098300416304034)\n",
"\n",
"- M. Louboutin, M. Lange, N. Kukreja, F. Luporini, F. Herrmann and G.\n",
" Gorman. *Multi-Physics Geophysical Exploration: Raising the\n",
" Abstraction with Separation of Concerns* Presented at SIAM-CSE 2017,\n",
" MS84 Domain-Specific Abstractions for Full-Waveform Inversion.\n",
" \\[[slides](presentations/Mon-17-25-Louboutin.pdf)\\]\n",
"\n",
"- Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja,\n",
" Fabio Luporini, Gerard Gorman, and Felix J. Herrmann. Full-waveform\n",
" inversion - Part 1: forward modeling. The Leading Edge, Volume 36,\n",
" Issue 12 (December 2017).\n",
" \\[[notebook](https://github.com/seg/tutorials-2017/tree/master/1712_FWI_forward_modeling)\\]\n",
" \\[[paper](https://library.seg.org/doi/abs/10.1190/tle36121033.1)\\]\n",
"\n",
"- F. Luporini, M. Lange, N. Kukreja, M. Louboutin, C. Yount, J.\n",
" Hückelheim and G. Gorman. *Optimised finite difference computation\n",
" from symbolic equations.* Presented at [WOLFHPC\n",
" 2017](http://hpc.pnl.gov/conf/wolfhpc/2017/).\n",
" \\[[slides](presentations/devito-wolfhpc17.pdf)\\]\n",
"\n",
"- F. Luporini, M. Lange, M. Louboutin, N. Kukreja and G.Gorman.\n",
" *Vectorization and Locality Optimizations for Seismic Imagining\n",
" Methods Through Automated Code Generation* Presented at SIAM-CSE\n",
" 2017, MS44 Efficiency of High-Order Methods on the 2nd Generation\n",
" Intel Xeon Phi Processor.\n",
" \\[[slides](presentations/Luporini-cse17.pdf)\\]\n",
"\n",
"- Martínez, V., Serpa, M., Dupros, F., Padoin, E.L. and Navaux, P.,\n",
" 2017, September. Performance prediction of acoustic wave numerical\n",
" kernel on Intel Xeon Phi processor. In Latin American High\n",
" Performance Computing Conference (pp. 101-110). Springer, Cham.\n",
" [paper](https://www.researchgate.net/profile/Matheus-Serpa/publication/322101980_Performance_Prediction_of_Acoustic_Wave_Numerical_Kernel_on_Intel_Xeon_Phi_Processor/links/5a54adb60f7e9b205de2e673/Performance-Prediction-of-Acoustic-Wave-Numerical-Kernel-on-Intel-Xeon-Phi-Processor.pdf)\n",
"\n",
"- D. McCormick. *Applying the Polyhedral Model to Tile Time Loops in\n",
" Devito* [arXiv](https://arxiv.org/abs/1707.02347)\n",
"\n",
"- P. Witte, M. Louboutin and F. Herrmann. *Large-Scale Workflows for\n",
" Wave-Equation Based Inversion in Julia* Presented at SIAM-CSE 2017,\n",
" MS84 Domain-Specific Abstractions for Full-Waveform Inversion.\n",
" \\[[slides](presentations/Mon-17-50-Witte.pdf)\\]\n",
"\n",
"- Yang, M., Daskalakis, E. and Herrmann, F., 2017, September. Fast\n",
" sparsity-promoting least-squares migration with multiples in the\n",
" time domain. In 2017 SEG International Exposition and Annual\n",
" Meeting. OnePetro.\n",
" [paper](https://doi.org/10.1190/segam2017-17741608.1).\n",
"\n",
"## 2016\n",
"\n",
"- M. Aguiar, G. Gorman, F. Herrmann, N. Kukreja, M. Lange, M.\n",
" Louboutin, F. Vieira, *Devito: Fast finite difference computation.*\n",
" Poster presented at SC 2016\n",
" [poster](https://dx.doi.org/10.6084/m9.figshare.3799500.v1)\n",
"\n",
"- N. Kukreja, M. Louboutin, F. Vieira, F. Luporini, M. Lange, and G.\n",
" Gorman. *Devito: automated fast finite difference computation*. In\n",
" 2016 Sixth International Workshop on Domain-Specific Languages and\n",
" High-Level Frameworks for High Performance Computing (WOLFHPC)\n",
" [arxiv](https://arxiv.org/abs/1608.08658)\n",
"\n",
"- Kukreja, N., Louboutin, M., Lange, M., Luporini, F. and Gorman, G.,\n",
" Leveraging symbolic math for rapid development of applications for\n",
" seismic modeling. Presented at Oil and Gas HPC, Rice 2016\n",
" [paper](https://slim.gatech.edu/Publications/Public/Conferences/OGHPC/2017/kukreja2016OGHPClsm/kukreja2016OGHPClsm.pdf)\n",
"\n",
"- M. Lange, C. Jacobs, F. Luporini, L. Mitchell, D. Ham, and G.\n",
" Gorman. *Seigen: Seismic modelling through code generation*. Poster\n",
" presented at SIAM-PP16, 2016,\n",
" [poster](https://dx.doi.org/10.6084/m9.figshare.3798984.v1)\n",
"\n",
"- M. Lange, N. Kukreja, M. Louboutin, F. Luporini, F. Vieira, V.\n",
" Pandolfo, P. Velesko, P. Kazakas, and G. Gorman. *Devito: Towards a\n",
" generic Finite Difference DSL using Symbolic Python*. In Python for\n",
" High-Performance and Scientific Computing (PyHPC), Workshop on,\n",
" pp. 67-75. IEEE, 2016. [arxiv](https://arxiv.org/abs/1609.03361)\n",
"\n",
"- M. Lange, N. Kukreja, M. Louboutin, F. Luporini, V. Pandolfo, P.\n",
" Velesko, P. Kazakas and G. Gorman. *Devito: Towards a generic Finite\n",
" Difference DSL using Symbolic Python* Presented at [PyHPC\n",
" 2016](http://www.dlr.de/sc/desktopdefault.aspx/tabid-11229/19729_read-46082/).\n",
" \\[[slides](presentations/devito-pyhpc2016.pdf)\\]\n",
"\n",
"- Lange, M., Kukreja, N., Louboutin, M., Luporini, F., Vieira, F.,\n",
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],
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