The biennial SIAM Conference on Computational Science and Engineering (CSE23) will be held February 27–March 3 at the RAI Congress Centre in Amsterdam, Netherlands. The conference seeks to enable in-depth technical discussions on a variety of major computational efforts on large problems in science and engineering, foster the interdisciplinary culture required to meet these large-scale challenges, and promote the training of the next generation of computational scientists. For years, SIAM CSE conferences have convened experts worldwide; CSE23 is the first time the conference will be held outside of the United States.
Berkeley Lab will be well represented at the meeting, with staff members leading and contributing to several mini-symposia, presenting posters, and participating in invited panel discussions. Lab scientists, such as Andy Nonaka, will also be leading Affinity Groups; the SIAM CSE23 mentoring subcommittee organized this informal mentoring program to introduce the next generation of computational scientists to the leaders in the field.
Contributions to the conference from Berkeley Lab Computing Sciences researchers are listed below.
All times are local to Amsterdam, Netherlands (Central European Standard Time, or GMT+1).
| MS373 – Performance Portable Implementations of Particle-in-Cell Methods | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room G103 |
| Organizers: | Andrew Myers and Axel Huebl, Lawrence Berkeley National Laboratory |
| Abstract: | Scalable, Performance Portable Particle-in-Cell Modeling with WarpX, Andrew Myers, Lawrence Berkeley National Lab |
| MS14 – High-Performance Algorithms for Large-Scale Eigenvalue Problems in Physical Simulations – Part I of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room E102 |
| Organizers: | David B. Williams-Young, Lawrence Berkeley National Laboratory, and Volker Blum, Duke University |
| Abstract: | Perspective on High-Performance Algorithms for Eigenvalue Problems in Physical Simulations, David B. Williams-Young, Lawrence Berkeley National Laboratory |
| MS26 – Recent Advances in Combinatorial Scientific Computing – Part I of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room D508 |
| Abstract: | Parallel Algorithms for De Novo Long Read Genome Assembly via Sparse Linear Algebra, Giulia Guidi, Cornell University and Lawrence Berkeley National Laboratory; Gabriel Raulet, Leonid Oliker, Katherine Yelick, and Aydın Buluç, Lawrence Berkeley National Laboratory; Daniel Rokhsar, Joint Genome Institute |
| MS50 – Lessons Learned in Scaling Science Codes to New Architectures | |
| Time: | 1:50 – 3:30 p.m. |
| Location: | Room D502 |
| Organizers: | Jean M. Sexton and Andy J. Nonaka, Lawrence Berkeley National Laboratory |
| Abstract: | Extending Science Codes to Quantum Computers, Katherine Klymko, Lawrence Berkeley National Laboratory |
| MS47 – High-Performance Algorithms for Large-Scale Eigenvalue Problems in Physical Simulations – Part II of II | |
| Time: | 1:50 – 3:30 p.m. |
| Location: | Room E102 |
| Organizers: | David B. Williams-Young, Lawrence Berkeley National Laboratory, and Volker Blum, Duke University |
| MS88- Kinetic Simulations of Astrophysical Processes – Part I of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room G108 |
| Organizers: | Revathi Jambunathan and Hannah Klion, Lawrence Berkeley National Laboratory |
| Abstract: | Simulations of Magnetic Reconnection with a Pseudo-Spectral Maxwell Solver, Hannah Klion, Revathi Jambunathan, Michael Rowan, Andrew Myers, Rémi Lehe, Jean-Luc Vay, and Weiqun Zhang, Lawrence Berkeley National Laboratory |
| MS72 – Advanced Solvers for Geophysical Flows | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Forum Centre |
| Abstract: | Solver Improvements for Ice Sheets and Adaptive Mesh Refinement, Daniel Martin, Lawrence Berkeley National Laboratory |
| PD1 – Diversity Retention and Mentoring (Panel Discussion) | |
| Time: | 11:30 a.m. – 1:00 p.m. |
| Location: | Auditorium |
| Chair: | Sadaf Alam, Centro Svizzero di Calcolo Scientifico |
| Panelists: | Juan M. Restrepo, Oak Ridge National Laboratory |
| Damian Rouson, Lawrence Berkeley National Laboratory | |
| Suzanne Sindi, University of California, Merced | |
| MS124 Kinetic Simulations of Astrophysical Processes – Part II of II | |
| Time: | 2:15 – 3:55 p.m. |
| Location: | Room G108 |
| Organizers: | Revathi Jambunathan and Hannah Klion, Lawrence Berkeley National Laboratory |
| Abstract: | Fully Kinetic Simulations of Pulsar Magnetospheres Using WarpX, Revathi Jambunathan, Hannah Klion, Andrew Myers, John B. Bell, Jean-Luc Vay, Michael Rowan, Ann S. Almgren, Rémi Lehe, Axel Huebl, and Weiqun Zhang, Lawrence Berkeley National Laboratory |
| MS135 Randomized Solvers in Large-Scale Scientific Computing – Part II of II | |
| Time: | 2:15 – 3:55 p.m. |
| Location: | Room G111 |
| Abstract: | On the Parallelization of Sketching Algorithms for the Tensor-Train Decomposition, Tianyi Shi, Lawrence Berkeley National Laboratory; Maximilian Ruth and Alex J. Townsend, Cornell University |
| PP1 – Poster Sessions | |
| Time: | 4:00 – 6:00 p.m. |
| Location: | Europa Foyer |
| Abstract: | State Redistribution Algorithm for Moving Geometries, Matthew Blomquist, University of California, Merced; Ann S. Almgren and Weiqun Zhang, Lawrence Berkeley National Laboratory; Jordan Musser and Deepak Rangarajan, National Energy Technology Laboratory |
| Abstract: | Accelerating Randomized Algorithms for Massive-Scale Zeroth-Order Optimization, Stefan Wild, Lawrence Berkeley National Laboratory; Kwassi Joseph Dzahini, Argonne National Laboratory; Xiaoqian Liu, University of Texas MD Anderson Cancer Center |
| MS165 – Multiphase Flows at the Microscale – Part I of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room E106 |
| Organizers: | John B. Bell, Lawrence Berkeley National Laboratory; Sean P. Carney, University of California, Los Angeles; Alejandro Garcia, San Jose State University |
| Abstract: | Fluctuating Hydrodynamics for Multiphase Mixtures, John B. Bell, Lawrence Berkeley National Laboratory; Bryn Barker, University of North Carolina at Chapel Hill; Alejandro Garcia, San Jose State University |
| MS175 – Sparse Computations in Science and Engineering – Part I of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room G107 |
| Organizer: | Aydın Buluç, Lawrence Berkeley National Laboratory |
| Abstract: | The Ubiquitous Sparse Matrix-Matrix Products, Aydın Buluç, Lawrence Berkeley National Laboratory |
| Abstract: | Communication-Avoiding Algorithms for Sparse Triangular Matrices, Piyush Sao and Ramakrishnan Kannan, Oak Ridge National Laboratory; Yang Liu and Xiaoye S. Li, Lawrence Berkeley National Laboratory; Richard Vuduc, Georgia Institute of Technology |
| MS164 – Modeling and Simulation of Non-Equilibrium Quantum Dynamics – Part I of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Forum Centre |
| Organizer: | Chao Yang, Lawrence Berkeley National Laboratory |
| Abstract: | Numerical Methods for Simulating Non-Equilibrium Quantum Many-Body Dynamics, Chao Yang, Jia Yin, and Yuanran Zhu, Lawrence Berkeley National Laboratory |
| MS167- Performance Engineering and Applications – Part I of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room D404 |
| Abstract: | Stream Triggered Communications for Mesh Applications on GPU Systems, Kevin N. Gott and Brandon Cook, Lawrence Berkeley National Laboratory; Yijian Hu, Georgia Institute of Technology |
| MS157 – From Math to Code: Domain-Specific Programming Abstractions, Languages, and Frameworks – Part I of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room G104 |
| Abstract: | ProtoX: A First Look, Het Y. Mankad and Sanil Rao, Carnegie Mellon University.; Phillip Colella and Brian Van Straalen, Lawrence Berkeley National Laboratory; Franz Franchetti, Carnegie Mellon University |
| MS211- Sparse Computations in Science and Engineering – Part II of II | |
| Time: | 1:50 – 3:30 p.m. |
| Location: | Room G107 |
| Organizer: | Aydın Buluç, Lawrence Berkeley National Laboratory |
| Abstract: | Optimizing Locality in Dynamic Graph Data Structures, Helen Xu and Aydın Buluç, Lawrence Berkeley National Laboratory; Brian Wheatman, Johns Hopkins University; Prashant Pandey, University of Utah |
| Abstract: | Sampling Algorithms for Distributed-Memory Sparse CP Decomposition, Vivek Bharadwaj, Riley J. Murray, and James W. Demmel, University of California, Berkeley; Osman Malik and Aydın Buluç, Lawrence Berkeley National Laboratory |
| MS198 – Multiphase Flows at the Microscale – Part II of II | |
| Time: | 1:50 – 3:30 p.m. |
| Location: | Room E106 |
| Organizers: | John B. Bell, Lawrence Berkeley National Laboratory; Sean P. Carney, University of California, Los Angeles; Alejandro Garcia, San Jose State University |
| MS196 – Modeling and Simulation of Non-Equilibrium Quantum Dynamics – Part II of II | |
| Time: | 1:50 – 3:30 p.m. |
| Location: | Forum Centre |
| Organizer: | Chao Yang, Lawrence Berkeley National Laboratory |
| Abstract: | Stochastic Real-Time Green’s Function Theory for Neutral Excitations in Molecules, Leopoldo Mejia, Lawrence Berkeley National Laboratory |
| MS191- High-Performance Computing in the FASTMath SciDAC-5 Institute – Part I of II | |
| Time: | 1:50 – 3:30 p.m. |
| Location: | Emerald Room |
| Abstract: | AMReX: An Overview of Recent Software Developments and Scientific Applications, Andrew Nonaka, Ann S. Almgren, John B. Bell, Weiqun Zhang, Andrew Myers, and Jean M. Sexton, Lawrence Berkeley National Laboratory |
| Abstract: | Exposing AMR Application Interfaces for Time Integrators, Steven Roberts, David J. Gardner, and Carol S. Woodward, Lawrence Livermore National Laboratory; Hans Johansen and Daniel Martin, Lawrence Berkeley National Laboratory |
| MS308 – Progresses on Batched Linear Solver Algorithms – Part I of II | |
| Time: | 2:35 – 4:15 p.m. |
| Location: | Room G107 |
| Abstract: | Design and Evaluation of Batched Sparse Direct Solver for Multi-GPUs, Sherry Li, Yang Liu, Wajih Boukaram, and Tianyi Shi, Lawrence Berkeley National Laboratory |
| MS223 – High-Performance Computing in the FASTMath SciDAC-5 Institute – Part II of II | |
| Time: | 4:00 – 5:40 p.m. |
| Location: | Emerald Room |
| Abstract: | Can Planewave DFT Codes Scale on Massively Parallel GPU-Based Supercomputers? Doru Thom A. Popovici, Mauro Del Ben, Andrew M. Canning, and Osni A. Marques, Lawrence Berkeley National Laboratory |
| Abstract: | Enabling End-to-End Accelerated Simulations in the Exascale Era Using PETSc, Richard T. Mills, Satish Balay, Alp Dener, Todd Munson, Hong Zhang, Junchao Zhang, Argonne National Laboratory; Mark Adams, Lawrence Berkeley National Laboratory; Jed Brown, University of Colorado Boulder; Jacob Faibussowitsch, University of Illinois at Urbana-Champaign; Matthew G. Knepley, University at Buffalo; Scott Kruger, Tech-X Corporation; Hannah Morgan, University of Chicago; Argonne National Laboratory; Karl Rupp, Technische Universität Wien; Barry Smith, Flatiron Institute; Stefano Zampini, King Abdullah University of Science & Technology (KAUST) |
| Abstract: | Using the FFTX Library in Applications, Peter McCorquodale, Lawrence Berkeley National Laboratory |
| MS213 – Adaptive Mesh Refinement: Algorithms and Applications – Part I of II | |
| Time: | 4:00 – 5:40 p.m. |
| Location: | Room E106 |
| Organizers: | Ann S. Almgren, Lawrence Berkeley National Laboratory; Donna Calhoun, Boise State University; Carsten Burstedde, Universität Bonn |
| Abstract: | An Overview of Adaptive Mesh Refinement: Algorithms and Applications, Ann S. Almgren, Lawrence Berkeley National Laboratory |
| MS219 – Computational Techniques for Brownian Motion in Complex Suspensions | |
| Time: | 4:00 – 5:40 p.m. |
| Location: | Room D506 |
| Abstract: | Modeling Electrokinetic Flows with the Discrete Ion Stochastic Continuum, Daniel R. Ladiges, Jialun G. Wang, Ishan Srivastava, Andrew Nonaka, and John B. Bell, Lawrence Berkeley National Laboratory; Sean P. Carney, University of California, Los Angeles; Alejandro Garcia, San Jose State University; Aleksandar Donev, Courant Institute of Mathematical Sciences, New York University |
| MS238 – Quantum Algorithms for Scientific Computing – Part I of II | |
| Time: | 4:00 – 5:40 p.m. |
| Location: | Room D503 |
| Organizers: | Roel Van Beeumen, Daan Camps, Katherine Klymko, Lawrence Berkeley National Laboratory |
| MS246 – Towards Improvement of Sustainability and Productivity for Research Software – Part I of II | |
| Time: | 4:00 – 5:40 p.m. |
| Location: | Room E104 |
| Abstract: | Producing Software for Science with Class, Damian W. Rouson, Lawrence Berkeley National Laboratory |
| MS245 – Theory and Applications of Derivative-Free Optimization – Part I of II | |
| Time: | 4:00 – 5:40 p.m. |
| Location: | Room D407 |
| Abstract: | Derivative-Free Variance-Reduced Jacobian Sketching, Matt Menickelly, Argonne National Laboratory; Stefan Wild, Lawrence Berkeley National Laboratory |
| MS274 – Quantum Algorithms for Scientific Computing – Part II of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room D503 |
| Organizers: | Roel Van Beeumen, Daan Camps, Katherine Klymko, Lawrence Berkeley National Laboratory |
| Abstract: | Qclab++: Simulating Quantum Circuits on GPUs, Roel Van Beeumen and Daan Camps, Lawrence Berkeley National Laboratory |
| MS248 – Adaptive Mesh Refinement: Algorithms and Applications – Part II of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room E106 |
| Organizers: | Ann S. Almgren, Lawrence Berkeley National Laboratory; Donna Calhoun, Boise State University; Carsten Burstedde, Universität Bonn |
| MS281 – Theory and Applications of Derivative-Free Optimization – Part II of II | |
| Time: | 9:45 – 11:25 a.m. |
| Location: | Room D407 |
| Abstract: | A Stochastic Derivative-Free Trust-Region Method in Random Subspaces, Kwassi Joseph Dzahini, Argonne National Laboratory; Stefan Wild, Lawrence Berkeley National Laboratory |
| PD4 – Forward-Looking Panel | |
| Time: | 1:00 – 2:30 p.m. |
| Location: | Auditorium |
| Chair: | Karen E. Willcox, University of Texas at Austin |
| Panelists: | Annalisa Buffa, École Polytechnique Fédérale de Lausanne |
| Magnus Fontes Institut Roche Thomas Kropf, Bosch Corporate Research and Advance Engineering | |
| Satoshi Matsuoka, RIKEN R-CCS and Tokyo Insitute of Technology | |
| John Shalf, Lawrence Berkeley National Laboratory | |
| MS288 – AI-Driven Design and Optimization of Future Electronics – Part I of II | |
| Time: | 2:35 – 4:15 p.m. |
| Location: | Room E107 |
| Organizer: | Zhi Jackie Yao, Lawrence Berkeley National Laboratory |
| Abstract: | AI-Driven Design and Optimization of Future Electronics, Zhi Jackie Yao, Lawrence Berkeley National Laboratory |
| MS320 – AI-Driven Design and Optimization of Future Electronics – Part II of II | |
| Time: | 4:45 – 6:25 p.m. |
| Location: | Room E107 |
| Organizer: | Zhi Jackie Yao, Lawrence Berkeley National Laboratory |
| Abstract: | AI Empowered Codesign of Beyond Moore’s Law Microelectronics, Lavanya Ramakrishnan, Zhi Jackie Yao, Zhe Bai, Andrew Tritt, Ali Zaidi, Hasita Veluri, Dilip Vasudevan, and John Shalf, Lawrence Berkeley National Laboratory |
| MS339 – Optimization, Design, and Machine Learning in the FASTMath SciDAC-5 Institute – Part I of II | |
| Time: | 4:45 – 6:25 p.m. |
| Location: | Room E103 |
| Organizer: | Daniel Martin, Lawrence Berkeley National Laboratory |
| Abstract: | What Is FASTMath? Esmond G. Ng, Lawrence Berkeley National Laboratory |
| Abstract: | ParMOO: A Python Library for Parallel Multiobjective Simulation Optimization, Tyler H. Chang, Argonne National Laboratory; Stefan Wild, Lawrence Berkeley National Laboratory |
| MS341 – Progresses on Batched Linear Solver Algorithms – Part II of II | |
| Time: | 4:45 – 6:25 p.m. |
| Location: | Room G107 |
| Abstract: | Batched Sparse Iterative Solvers on GPU for the XGC Fusion Plasma Application Collision Operator, Paul Lin and Dhruva Kulkarni, Lawrence Berkeley National Laboratory; Aditya Kashi, Oak Ridge National Laboratory; Pratik Nayak, Karlsruhe Institute of Technology; Aaron Scheinberg, Jubilee Development; Hartwig Anzt, University of Tennessee |
| Abstract: | Portable Batch Solvers in Structure Preserving Kinetic Methods with PETSc, Mark Adams, Lawrence Berkeley National Laboratory; Matthew G. Knepley, University at Buffalo; Eero Hirvijoki, Aalto University; Joseph Pusztay, University at Buffalo; Daniel Finn, State University of New York at Buffalo |
| MS376 – Recent Advances in Cut Cell Discretizations: Accuracy, Stability, and Applications – Part I of II | |
| Time: | 9:20 – 11:00 a.m |
| Location: | Room D404 |
| Organizers: | Hans Johansen, Lawrence Berkeley National Laboratory; Frederic Gibou, University of California, Santa Barbara |
| Abstract: | A High-Order Cartesian Grid, Finite Volume Method for Elliptic Interface Problems, Will Thacher and Hans Johansen, Lawrence Berkeley National Laboratory |
| MS382 – Structured Low-Rank Matrices – Part I of II | |
| Time: | 9:20 – 11:00 a.m |
| Location: | Room G108 |
| Abstract: | Approximate Multifrontal Solver with GPU Accelerated Block Low-Rank Compression, Pieter Ghysels, Lisa Claus, Wajih Boukaram, and Xiaoye S. Li, Lawrence Berkeley National Laboratory |
| Abstract: | Parallel Factorization Based on Skeletonization, Wajih Boukaram, Lawrence Berkeley National Lab |
| MS357- Computational and Theoretical Advances for Multiphase Flows | |
| Time: | 9:20 – 11:00 a.m |
| Location: | Room D408 |
| Organizers: | Aaron M. Lattanzi and Ishan Srivastava, Lawrence Berkeley National Laboratory |
| Abstract: | Upscaling Particulate Simulations Towards Continuum Modeling of Dense Granular Flows, Ishan Srivastava, Ann S. Almgren, and John B. Bell, Lawrence Berkeley National Laboratory |
| Abstract: | Efficient Neighbor Detection for Polydisperse Gas-Solids Flows, Aaron M. Lattanzi and Andrew Myers, Lawrence Berkeley National Laboratory |
| MS355 – Butterfly Factorizations: Algorithms, Applications, and Theory – Part II of II | |
| Time: | 9:20 – 11:00 a.m |
| Location: | Room D304 |
| Abstract: | Progress on Faster Butterfly Construction Based on Randomized Matrix-Vector Multiplication, Yang Liu, Lawrence Berkeley National Laboratory |
| MS372 – Optimization, Design, and Machine Learning in the FASTMath SciDAC-5 Institute – Part II of II | |
| Time: | 9:20 – 11:00 a.m |
| Location: | Room E103 |
| Organizer: | Daniel Martin, Lawrence Berkeley National Laboratory |
| MS411 – Recent Advances in Cut Cell Discretizations: Accuracy, Stability, and Applications – Part II of II | |
| Time: | 11:30 a.m. – 1:10 p.m |
| Location: | Room D404 |
| Organizers: | Hans Johansen, Lawrence Berkeley National Laboratory; Frederic Gibou, University of California, Santa Barbara |
| Abstract: | Optimizations and Algorithm Tradeoffs in Embedded Boundary Discretizations, Daniel T. Graves, Hans Johansen, Oscar Antepara, and Nate Overton-Katz, Lawrence Berkeley National Laboratory |
| Abstract: | Higher-Order Finite-Volume Embedded Boundary Methods on Moving Domains, Nate Overton-Katz, Daniel T. Graves, and Hans Johansen, Lawrence Berkeley National Laboratory |
| MS400 – Kinetic and Continuum Theories for Computational Plasma Physics – Part II of II | |
| Time: | 11:30 a.m. – 1:10 p.m |
| Location: | Room G102 |
| Abstract: | The Pseudo-Inverse Mapping in the Global Gyrokinetic Magnetic Fusion Code XGC, Albert Mollen, Robert Hager, and Choong-Seock Chang, Princeton Plasma Physics Laboratory; Mark Adams, Lawrence Berkeley National Laboratory; Varis Carey, Theodon Consulting; Matthew G. Knepley, University at Buffalo; Aaron Scheinberg, Jubilee Development |
| Abstract: | Using Both Particle and Continuum Discretizations, Matthew G. Knepley and Joseph Pusztay, University at Buffalo; Daniel Finn, State University of New York at Buffalo; Mark Adams, Lawrence Berkeley National Laboratory |
| MS416 – Stochastic and Multiscale Modeling Approaches for Interfacial Systems – Part II of II | |
| Time: | 11:30 a.m. – 1:10 p.m |
| Location: | Emerald Room |
| Abstract: | Thermodynamically-Consistent Coupling of Fluctuating Hydrodynamics and Kinetic Monte Carlo for Gas-Solid Interfaces, Changho Kim, University of California, Merced; Andy J. Nonaka, Ishan Srivastava, and John B. Bell, Lawrence Berkeley National Laboratory; Alejandro Garcia, San Jose State University |
About Computing Sciences at Berkeley Lab
High performance computing plays a critical role in scientific discovery. Researchers increasingly rely on advances in computer science, mathematics, computational science, data science, and large-scale computing and networking to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences Area researches, develops, and deploys new foundations, tools, and technologies to meet these needs and to advance research across a broad range of scientific disciplines.
