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Generative Models for Transfer Learning on Seismic Data
Authors: Ricard Durall, Valentin Tschannen, Fraunhofer ITWM; Janis Keuper, Franhofer ITWM / IMLA, Offenburg University

3D Seismic Facies Classification using Distributed Deep Learning
Authors: Sergio Botelho, Vinay Rao, Santi Adavani, RocketML Inc.; Vishal Das, Pandu Devarakota, Shell Global Solutions (US) Inc.

GEOSX: An Open-source Multiphysics, Multilevel Simulator for Simulating CO2 Storage on HPC
Authors: Randolph Settgast, Joshua White, Lawrence Livermore National Laboratory; Herve Gross, Total S.A.

Architecting HPC Storage at NERSC for the Exascale Era and Beyond
Authors: Glenn Lockwood and Nicholas Wright, Lawrence Berkeley National Laboratory

SparkSeis: A Machine Learning Platform for Seismic Data Analysis
Author: Chuck Mosher, ConocoPhillips

Exploiting Temporal Data Reuse and Asynchrony in the Reverse Time Migration
Authors: Long Qu, Hatem Ltaief, David Keyes, KAUST; Rached Abdelkhalek, Issam Said, NVIDIA

Task-Based Sparse Matrix Vector Product and Kirchhoff Migration
Authors: Jérôme Gurhem, Serge G. Petiton, University of Lille; Henri Calandra, Total SA

A Flexible, High-level Abstraction for Topography Implementation Within Finite Difference Wave Solvers
Authors: Edward Caunt, Rhodri Nelson, Gerard Gorman, Imperial College-London; Fabio Luporini, Devito Codes

Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion
Authors: Zhaozhuo Xu, Aditya Desai, Anu Chandran, Anshumali Shrivastava, Rice University; Menal Gupta, Shell

Efficient Scheduling of Interactive Python Jobs on HPC Systems
Authors: Philipp Reusch, Dominik Strassel, Fraunhofer ITWM; Janis Keuper, Fraunhofer ITWM / IMLA, Offenburg University

Temporal Blocking for Wave Propagation with Sparse Off-the-grid Sources
Authors: George Bisbas, Rhodri Nelson, Gerard Gorman, Paul Kelly, Imperial College-London; Fabio Luporini, Devito Codes; Mathias Louboutin, Georgia Institute of Technology

Optimization Framework for Imaging and Inversion in Azure Cloud
Authors: Sam Kaplan, John Washbourne, Anusha Sekar, Uwe Albertin, Miguel Merino, Scott Mishra, Matthew Chenette and Alexander Loddoch, Chevron

Distributed Tasks-driven Approach for Stencil-based Applications
Authors: Eric Raut, Stony Brook University; Jonathon Anderson, Rice University; Mauricio Araya, Jie Meng, Total EP Research & Technology

HPC in Oil & Gas, its Impact on Geomechanics and Industry Wide Efficiency
Author: Peter Connolly, Connolly Geo, LLC

Tarantella – A framework for distributed Deep Learning
Authors: Peter Labus, Alexandra Carpen-Amarie, Martin Kuehn, Fraunhofer ITWM

Robust Optimization and Machine Learning for Full Waveform Inversion
Authors: Kui Ren and Carlos A. Sanmiguel, Xofia Inc.

Semantic Representation and Execution for Improving Decision Making
Authors: Tek Raj Chhetri and Anna Fensel, University of Innsbruck – Austria

Bayesian Optimization for Field Scale Geological Carbon Sequestration
Authors: Xueying Lu, Mary F. Wheeler, UT Austin; Kirk E. Jordan, Edward O. Pyzer-Knapp, Matthew Benatan, IBM Research

Weight Adjusted Discontinuous Galerkin Methods on Moving Curved Meshes
Authors: Kaihang Guo and Jesse Chan, Rice University

Porting and Tuning Devito Stencil Code Generation Framework on Fujitsu’s A64FX Processor
Authors: Fabrice Dupros, Arm; Yoshio Nakao, Fujitsu

Software Abstractions for Cloud-native High-performance Computing
Authors: Philipp Witte, Hari Krishnan Srinivasan and Ranveer Chandra, Microsoft

Devito v4.3: Production-grade Multi-GPU Support
Authors: Fabio Luporini, Devito Codes; Rhodri Nelson, George Bisbas, Gerard Gorman, Imperial College-London; Italo Assis, Federal University of Rio Grande do Norte; Ken Hester, NVIDIA

Massive High-Performance Cloud Computing for Digital Rock Chemistry-Physics
Authors: Babak Shafei and Spatika Iyengar, AquaNRG Consulting Inc.

High-performance Data Movement Services
Authors: Chin Fang, Zettar Inc.; Ezra Kissel, Energy Sciences Network (ESnet)

HPC Value Addition in Exploration & Production of Oil and Gas
Authors: Fred Aminzadeh, University of Houston; Masashi Ikuta, NEC Corporation

Azure Hyperscale Seismic Imaging: A Cloud-native Approach for 3D FWI
Authors: Qie Zhang, George Iordanescu, Sverre Brandsberg Dahl, Hari Krishnan Srinivasan, Ranveer Chandra, Microsoft; Navjot Kukreja, Gerard Gorman, Imperial College-London

Deep Learning at Scale for Geophysical Applications Using ONNXRuntime
Authors: Raj Gautam, Mehdi Aharchaou, ExxonMobil