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CS Staff Contribute to SIAM

February 25, 2013


The annual SIAM Conference on Computational Science and Engineering is being held this week, February 25–March 1, in Boston, MA. The SIAM CS&E conference seeks to enable in-depth technical discussions on a wide 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.

Contributions to the conference from Berkeley Lab Computing Sciences researchers are listed below. (Co-authors from other institutions are omitted.) 

  • Ann S. Almgren, John B. Bell, and Michael Lijewski: BoxLib: Overview and Applications
  • John B. Bell and Kaushik Balakrishnan (co-authors): Modeling of Thermal Fluctuations in Multicomponent Reacting Systems
  • Aydin Buluc (co-organizer): Minimizing Communication in Scientific Computing
  • Michael Driscoll, Evangelos Georganas, Penporn Koanantakool, and Katherine Yelick (co-authors): A Communication Optimal N-Body Algorithm for Long-Range Direct Interactions
  • Phillip Collela and Peter Mccorquodale (co-authors): Gyrokinetic Edge Plasma Simulation Using Continuum Methods
  • James W. Demmel (co-author): Avoiding Communication in Parallel Bidiagonalization of Band Matrices
  • James W. Demmel (co-author): Shape-Morphing in LU Factorizations
  • James W. Demmel (co-author): Lower Bounds on Algorithm Energy Consumption: Current Work and Future Directions
  • James W. Demmel and Shoaib Kamil (co-authors): Beating MKL and Scalapack at Rectangular Matrix Multiplication Using the BFS/DFS Approach
  • Anthony Leroy Drummond (co-author): Auto-Tuning and Smart-Tuning Approaches for Efficient Krylov Solvers on Petascale Architectures
  • Matthew Emmett (co-organizer): Space-Time Parallel Methods: Algorithms, Implementation and Applications
  • Matthew Emmett (co-author): Implications of the Choice of SDC Nodes in the Multilevel PFASST Algorithm
  • John R. Gilbert, Aydin Buluc, Shoaib Kamil, Adam Lugowski, Leonid Oliker, and Samuel Williams (co-authors): High-Performance Filtered Queries in Attributed Semantic Graphs
  • August Johansson: A High Order Discontinuous Galerkin Nitsche Method for Elliptic Problems with Fictitious Boundary
  • Hans Johansen, Phillip Colella, and Peter Mccorquodale (co-authors): Adaptive Fourth-Order Cubed Sphere Discretization for Non-Hydrostatic Atmosphere Simulations
  • Alice Koniges: Programming Model Exploration and Efficiency Modeling using Mini and Proxy Applications
  • Xiaoye Sherry Li: Recent Advances in Scalable Sparse Factorization Methods
  • Lin Lin and Chao Yang: Elliptic Preconditioner for Accelerating the Self Consistent Field Iteration of Kohn-Sham Density Functional Theory
  • Osni A. Marques and Leroy A. Drummond (co-organizers): Auto-Tuning Technologies for Tools and Development Environment in Extreme-Scale Scientific Computing
  • Osni A. Marques (co-author): Assessing Library Performance with TAU
  • Daniel Martin and Esmond Ng (co-authors): Resolving Grounding Line Dynamics Using the BISICLES Adaptive Mesh Refinement Model
  • Matthias Morzfeld and Alexander J. Chorin: Implicit Particle Methods for Data Assimilation
  • Andy Nonaka and John B. Bell (co-authors): Low Mach Number Fluctuating Hydrodynamics of Diffusively Mixing Fluids
  • Per-Olof Persson (chair): Numerical Methods for PDEs
  • Per-Olof Persson: Shock Capturing for High-Order Discontinuous Galerkin Simulation of Transient Flow Problems
  • Per-Olof Persson and Bradley Froehle: A High-Order Implicit-Explicit Discontinuous Galerkin Scheme for Fluid-Structure Interaction
  • Chris Rycroft: Mechanical Simulation of Mammalian Acini
  • David Trebotich: Pore Scale Reactive Transport Modeling using Adaptive, Finite Volume Methods with a Look toward Upscaling
  • Didem Unat (co-author): Mint: A User-Friendly C-to-CUDA Code Translator
  • Ethan Van Andel, Ann S. Almgren, John B. Bell, and Michael Lijewski: Region-Based AMR: A New AMR Paradigm in BoxLib
  • Eugene Vecharynski (co-author): Absolute Value Preconditioning for Symmetric Indefinite Linear Systems
  • Eugene Vecharynski (co-author): Updating Singular Subspaces for Latent Semantic Indexing
  • Gunther H. Weber and Dmitriy Morozov: Geometric Comparisons in Porous Media Simulation
  • Jon Wilkening: Stability of Interacting Solitary Water Waves, Standing Waves, and Breathers
  • Chao Yang (session organizer): Large-scale Eigensolvers for Many-/Multi-Core Systems
  • Chao Yang: Acceleration Techniques for Electronic Structure Calculation
  • Chao Yang (co-author): Computing Eigenspace by a Penalty Approach
  • Chao Yang and Esmond Ng (co-authors): An Efficient and Scalable Lanczos-based Eigensolver for Multicore Systems
  • Chao Yang, Hasan Metin Aktulga, and Lin Lin (co-authors): Computing a Large Number of Eigenpairs on Multi-/Many-Core Systems

About Berkeley Lab

Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 16 Nobel Prizes. Today, Berkeley Lab researchers develop sustainable energy and environmental solutions, create useful new materials, advance the frontiers of computing, and probe the mysteries of life, matter, and the universe. Scientists from around the world rely on the Lab’s facilities for their own discovery science. Berkeley Lab is a multiprogram national laboratory, managed by the University of California for the U.S. Department of Energy’s Office of Science.

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