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Junior Research Group Fixed-Point Methods for Numerics at Exascale (FiNE)

Building Blocks of FiNE

With the explosive rise in hardware parallelism, running applications efficiently on modern high-performance computing systems requires a total redesign of the underlying numerical methods. This new paradigm must include implementations that focus on node-level parallelism, reduced global communication volume, and relaxed synchronization requirements. The Fixed-Point Methods for Numerics at Exascale (FiNE) research group aims to tackle these challenges head on by developing a new class of algorithms for extreme-scale computing.


Software Projects:

The numerical linear algebra package Ginkgo

The numerical linear algebra package MAGMA

The Exasclae Computing Project PEEKS


Major Collaborations:

Marc Baboulin, University of Paris-Sud

Jack Dongarra, University of Tennessee

Edmond Chow, Georgia Tech

Jens Saak, Max Planck Institute for Dynamics of Complex Technical Systems

Enrique S. Quintana-Ortí, University Jaime I

Daniel B. Szyld, Temple University

Thomas Huckle, Technical University of Munich

Gerhard Wellein, Friedrich-Alexander University Erlangen-Nürnberg


External website containing additional information.


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