{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T12:27:56Z","timestamp":1773318476607,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T00:00:00Z","timestamp":1763164800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000005","name":"U.S. Department of Defense","doi-asserted-by":"publisher","award":["FA9550-21-1-0084,FA9550-24-1-0327"],"award-info":[{"award-number":["FA9550-21-1-0084,FA9550-24-1-0327"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DGE-2137420,EAR-2225286,EAR-2121568,OAC-2139536"],"award-info":[{"award-number":["DGE-2137420,EAR-2225286,EAR-2121568,OAC-2139536"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy","doi-asserted-by":"publisher","award":["DE-SC0023171,DE-AC52-07NA27344"],"award-info":[{"award-number":["DE-SC0023171,DE-AC52-07NA27344"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017223","name":"National Energy Research Scientific Computing Center","doi-asserted-by":"publisher","award":["ALCC-ERCAP0030671"],"award-info":[{"award-number":["ALCC-ERCAP0030671"]}],"id":[{"id":"10.13039\/100017223","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["101093038,101058518,101058129"],"award-info":[{"award-number":["101093038,101058518,101058129"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,16]]},"DOI":"10.1145\/3712285.3771787","type":"proceedings-article","created":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T16:04:47Z","timestamp":1762963487000},"page":"60-71","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Real-Time Bayesian Inference at Extreme Scale: A Digital Twin for Tsunami Early Warning Applied to the Cascadia Subduction Zone"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2177-8519","authenticated-orcid":false,"given":"Stefan","family":"Henneking","sequence":"first","affiliation":[{"name":"The University of Texas at Austin, Austin, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8622-1063","authenticated-orcid":false,"given":"Sreeram","family":"Venkat","sequence":"additional","affiliation":[{"name":"The University of Texas at Austin, Austin, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1793-5622","authenticated-orcid":false,"given":"Veselin","family":"Dobrev","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory, Livermore, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2421-1999","authenticated-orcid":false,"given":"John","family":"Camier","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory, Livermore, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2810-3090","authenticated-orcid":false,"given":"Tzanio","family":"Kolev","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory, Livermore, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5502-9367","authenticated-orcid":false,"given":"Milinda","family":"Fernando","sequence":"additional","affiliation":[{"name":"The University of Texas at Austin, Austin, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0112-8412","authenticated-orcid":false,"given":"Alice-Agnes","family":"Gabriel","sequence":"additional","affiliation":[{"name":"University of California San Diego, San Diego, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7742-2509","authenticated-orcid":false,"given":"Omar","family":"Ghattas","sequence":"additional","affiliation":[{"name":"The University of Texas at Austin, Austin, TX, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,11,15]]},"reference":[{"key":"e_1_3_3_3_2_2","doi-asserted-by":"publisher","unstructured":"Lauren\u00a0S. Abrahams Lukas Krenz Eric\u00a0M. Dunham Alice-Agnes Gabriel and Tatsuhiko Saito. 2023. Comparison of methods for coupled earthquake and tsunami modelling. 404\u2013426\u00a0pages. 10.1093\/gji\/ggad053","DOI":"10.1093\/gji\/ggad053"},{"key":"e_1_3_3_3_3_2","doi-asserted-by":"publisher","unstructured":"Ilona Ambartsumyan Wajih Boukaram Tan Bui-Thanh Omar Ghattas David Keyes Georg Stadler George Turkiyyah and Stefano Zampini. 2020. Hierarchical matrix approximations of Hessians arising in inverse problems governed by PDEs. SIAM J. Sci. Comput. 42 5 (2020) A3397\u2013A3426. 10.1137\/19M1270367","DOI":"10.1137\/19M1270367"},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"publisher","unstructured":"Robert Anderson Julian Andrej Andrew Barker Jamie Bramwell Jean-Sylvain Camier Jakub Cerveny Veselin Dobrev Yohann Dudouit Aaron Fisher Tzanio Kolev Will Pazner Mark Stowell Vladimir Tomov Ido Akkerman Johann Dahm David Medina and Stefano Zampini. 2021. MFEM: A modular finite element methods library. Comput. Math. Appl. 81 (2021) 42\u201374. 10.1016\/j.camwa.2020.06.009","DOI":"10.1016\/j.camwa.2020.06.009"},{"key":"e_1_3_3_3_5_2","doi-asserted-by":"publisher","unstructured":"Julian Andrej Nabil Atallah Jan-Phillip B\u00e4cker Jean-Sylvain Camier Dylan Copeland Veselin Dobrev Yohann Dudouit Tobias Duswald Brendan Keith Dohyun Kim Tzanio Kolev Boyan Lazarov Ketan Mittal Will Pazner Socratis Petrides Syun\u2019ichi Shiraiwa Mark Stowell and Vladimir Tomov. 2024. High-performance finite elements with MFEM. Int. J. High Perform. Comput. Appl. 38 5 (2024) 447\u2013467. 10.1177\/10943420241261981","DOI":"10.1177\/10943420241261981"},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"publisher","unstructured":"Brian\u00a0F. Atwater Alan\u00a0R. Nelson John\u00a0J. Clague Gary\u00a0A. Carver David\u00a0K. Yamaguchi Peter\u00a0T. Bobrowsky Joanne Bourgeois Mark\u00a0E. Darienzo Wendy\u00a0C. Grant Eileen Hemphill-Haley Harvey\u00a0M. Kelsey Gordon\u00a0C. Jacoby Stuart\u00a0P. Nishenko Stephen\u00a0P. Palmer Curt\u00a0D. Peterson and Mary\u00a0A. Reinhart. 1995. Summary of coastal geologic evidence for past great earthquakes at the Cascadia subduction zone. Earthq. Spectra 11 1 (1995) 1\u201318. 10.1193\/1.1585800","DOI":"10.1193\/1.1585800"},{"key":"e_1_3_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-11374-116"},{"key":"e_1_3_3_3_8_2","doi-asserted-by":"publisher","unstructured":"Carlos Becerril Anthony Sladen Jean-Paul Ampuero Pedro\u00a0J. Vidal-Moreno Miguel Gonzalez-Herraez Fabian Kutschera Alice-Agnes Gabriel and Fr\u00e9d\u00e9ric Bouchette. 2024. Towards tsunami early-warning with distributed acoustic sensing: Expected seafloor strains induced by tsunamis. 10.22541\/essoar.171052484.46251426\/v1","DOI":"10.22541\/essoar.171052484.46251426\/v1"},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","unstructured":"J\u00f6rn Behrens Finn L\u00f8vholt Fatemeh Jalayer Stefano Lorito Mario\u00a0A. Salgado-G\u00e1lvez Mathilde S\u00f8rensen Stephane Abadie Ignacio Aguirre-Ayerbe I\u00f1igo Aniel-Quiroga Andrey Babeyko Marco Baiguera Roberto Basili Stefano Belliazzi Anita Grezio Kendra Johnson Shane Murphy Rapha\u00ebl Paris Irina Rafliana Raffaele De\u00a0Risi Tiziana Rossetto Jacopo Selva Matteo Taroni Marta Del\u00a0Zoppo Alberto Armigliato Vladim\u00edr Bure\u0161 Pavel Cech Claudia Cecioni Paul Christodoulides Gareth Davies Fr\u00e9d\u00e9ric Dias Hafize\u00a0Ba\u015fak Bayraktar Mauricio Gonz\u00e1lez Maria Gritsevich Serge Guillas Carl\u00a0Bonnevie Harbitz Utku K\u00e2no\u01e7lu Jorge Mac\u00edas Gerassimos\u00a0A. Papadopoulos Jascha Polet Fabrizio Romano Amos Salamon Antonio Scala Mislav Stepinac David\u00a0R. Tappin Hong\u00a0Kie Thio Roberto Tonini Ioanna Triantafyllou Thomas Ulrich Elisa Varini Manuela Volpe and Eduardo Vyhmeister. 2021. Probabilistic tsunami hazard and risk analysis: A review of research gaps. Front. Earth Sci. 9 (2021) 628772. 10.3389\/feart.2021.628772","DOI":"10.3389\/feart.2021.628772"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"publisher","unstructured":"Tan Bui-Thanh Omar Ghattas James Martin and Georg Stadler. 2013. A computational framework for infinite-dimensional Bayesian inverse problems Part I: The linearized case with application to global seismic inversion. SIAM J. Sci. Comput. 35 6 (2013) A2494\u2013A2523. 10.1137\/12089586X","DOI":"10.1137\/12089586X"},{"key":"e_1_3_3_3_11_2","unstructured":"Lianghao Cao Thomas O\u2019Leary-Roseberry and Omar Ghattas. 2025. Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problems. J. Mach. Learn. Res. 26 78 (2025) 1\u201368. https:\/\/jmlr.org\/papers\/v26\/24-0745.html"},{"key":"e_1_3_3_3_12_2","volume-title":"CEED: Center for Efficient Exascale Discretizations in the U.S. Exascale Computing Project (ECP)","year":"2025","unstructured":"CEED 2025. CEED: Center for Efficient Exascale Discretizations in the U.S. Exascale Computing Project (ECP). Retrieved October 10, 2025 from https:\/\/ceed.exascaleproject.org"},{"key":"e_1_3_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-323-95507-2.00004-9"},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"publisher","unstructured":"Congyue Cui Wenjie Lei Qiancheng Liu Daniel Peter Ebru Bozda\u011f Jeroen Tromp Judith Hill Norbert Podhorszki and David Pugmire. 2024. GLAD-M35: A joint P and S global tomographic model with uncertainty quantification. Geophys. J. Int. 239 1 (2024) 478\u2013502. 10.1093\/gji\/ggae270","DOI":"10.1093\/gji\/ggae270"},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"publisher","unstructured":"Paul Fischer Misun Min Thilina Rathnayake Som Dutta Tzanio Kolev Veselin Dobrev Jean-Sylvain Camier Martin Kronbichler Tim Warburton Kasia \u015awirydowicz and Jed Brown. 2020. Scalability of high-performance PDE solvers. Int. J. High Perform. Comput. Appl. 34 5 (2020) 562\u2013586. 10.1177\/1094342020915762","DOI":"10.1177\/1094342020915762"},{"key":"e_1_3_3_3_16_2","doi-asserted-by":"publisher","unstructured":"Omar Ghattas and Karen Willcox. 2021. Learning physics-based models from data: Perspectives from inverse problems and model reduction. Acta Numer. 30 (2021) 445\u2013554. 10.1017\/S0962492921000064","DOI":"10.1017\/S0962492921000064"},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"publisher","unstructured":"Jonatan Glehman Alice-Agnes Gabriel Thomas Ulrich Marlon\u00a0D. Ramos Yihe Huang and Eric\u00a0O. Lindsey. 2025. Partial ruptures governed by the complex interplay between geodetic slip deficit rigidity and pore fluid pressure in 3D Cascadia dynamic rupture simulations. Seismica 2 4 (2025). 10.26443\/seismica.v2i4.1427","DOI":"10.26443\/seismica.v2i4.1427"},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.3133\/pp1661F"},{"key":"e_1_3_3_3_19_2","doi-asserted-by":"publisher","unstructured":"Robert\u00a0M. Gray. 2006. Toeplitz and circulant matrices: A review. Found. Trends Commun. Inf. Theory 2 3 (2006) 155\u2013239. 10.1561\/0100000006","DOI":"10.1561\/0100000006"},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","unstructured":"Constantin Greif and Karsten Urban. 2019. Decay of the Kolmogorov N-width for wave problems. Appl. Math. Lett. 96 (2019) 216\u2013222. 10.1016\/j.aml.2019.05.013","DOI":"10.1016\/j.aml.2019.05.013"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"publisher","unstructured":"Stefan Henneking Sreeram Venkat and Omar Ghattas. 2025. Goal-oriented real-time Bayesian inference for linear autonomous dynamical systems with application to digital twins for tsunami early warning. 10.48550\/arXiv.2501.14911 arxiv:https:\/\/arXiv.org\/abs\/2501.14911","DOI":"10.48550\/arXiv.2501.14911"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27737-5160-2"},{"key":"e_1_3_3_3_23_2","doi-asserted-by":"publisher","unstructured":"Tobin Isaac Noemi Petra Georg Stadler and Omar Ghattas. 2015. Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems with application to flow of the Antarctic ice sheet. J. Comput. Phys. 296 (2015) 348\u2013368. 10.1016\/j.jcp.2015.04.047","DOI":"10.1016\/j.jcp.2015.04.047"},{"key":"e_1_3_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/b138659"},{"key":"e_1_3_3_3_25_2","doi-asserted-by":"publisher","unstructured":"Osamu Kamigaichi Makoto Saito Keiji Doi Toshiyuki Matsumori Shin\u2019ya Tsukada Kiyoshi Takeda Toshihiro Shimoyama Kouji Nakamura Masashi Kiyomoto and Yukihiro Watanabe. 2009. Earthquake early warning in Japan: Warning the general public and future prospects. Seismol. Res. Lett. 80 5 (2009) 717\u2013726. 10.1785\/gssrl.80.5.717","DOI":"10.1785\/gssrl.80.5.717"},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3458817.3476173"},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2018.8604709"},{"key":"e_1_3_3_3_28_2","doi-asserted-by":"publisher","unstructured":"Christopher\u00a0M. Liu Donsub Rim Robert Baraldi and Randall\u00a0J. LeVeque. 2021. Comparison of machine learning approaches for tsunami forecasting from sparse observations. Pure Appl. Geophys. 178 12 (2021) 5129\u20135153. 10.1007\/s00024-021-02841-9","DOI":"10.1007\/s00024-021-02841-9"},{"key":"e_1_3_3_3_29_2","doi-asserted-by":"publisher","unstructured":"Gabriel\u00a0C. Lotto and Eric\u00a0M. Dunham. 2015. High-order finite difference modeling of tsunami generation in a compressible ocean from offshore earthquakes. Comput. Geosci. 19 2 (2015) 327\u2013340. 10.1007\/s10596-015-9472-0","DOI":"10.1007\/s10596-015-9472-0"},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.17226\/26894"},{"key":"e_1_3_3_3_31_2","volume-title":"Earthquake and tsunami early warning on the Cascadia subduction zone: A feasibility study for an offshore geophysical monitoring network","author":"Schmidt David","year":"2023","unstructured":"David Schmidt, William Wilcock, Randall\u00a0J. LeVeque, Frank Gonzalez, Geoffrey Cram, Dana Manalang, Mike Harrington, Emily Roland, and Paul Bodin. 2023. Earthquake and tsunami early warning on the Cascadia subduction zone: A feasibility study for an offshore geophysical monitoring network. Technical Report. University of Washington. https:\/\/hdl.handle.net\/1773\/50968."},{"key":"e_1_3_3_3_32_2","doi-asserted-by":"publisher","unstructured":"Andrew\u00a0M. Stuart. 2010. Inverse problems: A Bayesian perspective. Acta Numer. 19 (2010) 451\u2013559. 10.1017\/S0962492910000061","DOI":"10.1017\/S0962492910000061"},{"key":"e_1_3_3_3_33_2","doi-asserted-by":"publisher","unstructured":"Hiroaki Tsushima Ryota Hino Hiromi Fujimoto Yuichiro Tanioka and Fumihiko Imamura. 2009. Near-field tsunami forecasting from cabled ocean bottom pressure data. J. Geophys. Res. Solid Earth 114 B6 (2009). 10.1029\/2008JB005988","DOI":"10.1029\/2008JB005988"},{"key":"e_1_3_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3126908.3126948"},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"publisher","unstructured":"Sreeram Venkat Milinda Fernando Stefan Henneking and Omar Ghattas. 2025. Fast and scalable FFT-based GPU-accelerated algorithms for block-triangular Toeplitz matrices with application to linear inverse problems governed by autonomous dynamical systems. SIAM J. Sci. Comput. 47 5 (2025) B1201\u2013B1226. 10.1137\/24M1683172","DOI":"10.1137\/24M1683172"},{"key":"e_1_3_3_3_36_2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898717570"}],"event":{"name":"SC '25: The International Conference for High Performance Computing, Networking, Storage and Analysis","location":"St. Louis MO USA","acronym":"SC '25","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing"]},"container-title":["Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3712285.3771787","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3712285.3771787","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3712285.3771787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T18:42:55Z","timestamp":1773254575000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3712285.3771787"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,15]]},"references-count":35,"alternative-id":["10.1145\/3712285.3771787","10.1145\/3712285"],"URL":"https:\/\/doi.org\/10.1145\/3712285.3771787","relation":{},"subject":[],"published":{"date-parts":[[2025,11,15]]},"assertion":[{"value":"2025-11-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}