Terascale Optimal PDE Solvers (TOPS) ISIC

This ISIC focuses on developing and implementing optimal or near-optimal schemes for PDE simulations and closely related tasks, including optimization of PDE-constrained systems, eigenanalysis, and adaptive time integration. The ISIC will research, develop and deploy and integrated toolkit of open source, (nearly) optimal complexity solvers for the nonlinear partial differential equations that arise in many Office of Science application areas, including fusion, accelerator design, global climate change, and reactive chemistry. These algorithms, primarily multilevel methods, aim to reduce computational bottlenecks by one to three orders of magnitude on terascale computers, enabling scientific simulation on a scale heretofore impossible. Along with usability, robustness, and algorithmic efficiency, an important goal will be to attain the highest possible computational performance in its implementations by accommodating to the memory bandwidth limitations of hierarchical memory architectures.

Institutions Involved

• Old Dominion University (Lead)
• Argonne National Laboratory
• Lawrence Berkeley National Laboratory
• Lawrence Livermore National Laboratory
• The University of California, Berkeley
• Carnegie Mellon University
• New York University
• The University of Tennessee
• The University of Colorado

Principal Investigator

David Keyes    dkeyes@odu.edu

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