Presentation

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Randomized Numerical Linear Algebra in HPC: Toward a Sustainable, Scalable Software Ecosystem

DescriptionIn recent years, randomized numerical linear algebra (RandNLA) proved to be more than a theoretical novelty: projects like RandLAPACK demonstrate its practical value across architectures, and projects like RandBLAS build trust in randomization as a tool for high-performance NLA. This BoF considers two main questions. First, what are the pressing issues in software standards and implementation that need to be resolved for RandNLA to become a core component of HPC? Second, how can we mobilize a community effort to make progress on these issues? The BoF will engage the audience to discuss the idea of growing the role of RandNLA in high performance computing and what it would take to scale from niche prototypes to robust, production-quality software libraries.

Session Leader

Maksim Melnichenko

University of Tennessee Knoxville

Innovative Computing Laboratory

Additional Session Leaders

Riley Murray

Sandia National Laboratories

Vivak Patel

University of Wisconsin Madison Department of Statistics

Weslley Da Silva Pereira

National Renewable Energy Laboratory (NREL)

Sherry Li