[hpc-announce] Supercomputing Spotlights Webinar: by Laura Grigori, June 10, 2026

[Erin Carson]

Title: Randomized mixed precision algorithms for large scale linear 
algebra problems
Presenter: Laura Grigori, EPFL and PSI

Wednesday, June 10, 2026, 2:00-2:40 pm UTC (30 min talk + 10 min 
questions)
7 am PDT / 9 am CDT / 10 am EDT / 2 pm UTC / 4 pm CEST / 11pm JST

Participation is free, but registration is required
Registration link:  
https://urldefense.us/v3/__https://siam.zoom.us/webinar/register/WN_Tgb2dUwqRUeiQ0r7tUriqA__;!!G_uCfscf7eWS!YbgOjwlidwuJ_83OtF4vS3Ru3pE9Fw5x3WwgBWRd7avZT5NuD90Jr8vFZp6j5aBWRECnHSr-iH5Pk3Uo8BTcr9tgDsgd5m0$ 


Supercomputing Spotlights is a webinar series featuring short 
presentations that highlight the impact and successes of 
high-performance computing (HPC) throughout our world. Presentations, 
emphasizing achievements and opportunities in HPC, are intended for the 
broad international community, especially students and newcomers to the 
field. Supercomputing Spotlights is an outreach initiative of 
SIAG/Supercomputing (https://urldefense.us/v3/__https://siag-sc.org__;!!G_uCfscf7eWS!YbgOjwlidwuJ_83OtF4vS3Ru3pE9Fw5x3WwgBWRd7avZT5NuD90Jr8vFZp6j5aBWRECnHSr-iH5Pk3Uo8BTcr9tg23GGm6o$ ) …  Join us!

Abstract: We will discuss randomized mixed-precision algorithms 
introduced in recent years for solving large-scale linear and 
multilinear algebra problems. These methods rely on a powerful 
dimensionality reduction technique that enables the use of optimized 
kernels and mixed precision while providing numerical guarantees with 
high probability. We first discuss the sketching operation and present 
communication-optimal algorithms for different types of random sketching 
matrices, including dense, sparse, and structured matrices. We then 
focus in particular on solving linear systems of equations and 
eigenvalue problems, as well as their integration into applications as 
materials science. All these algorithms are becoming available in 
RandMixPack, a library developed in our group for GPU and CPU 
architectures.

Bio: Professor Laura Grigori holds the chair of high-performance 
numerical algorithms and simulation at EPFL and is the Head of the 
Laboratory for Simulation and Modelling at Paul Scherrer Institute, 
Switzerland.  Her field of expertise is numerical linear, multilinear 
algebra, high-performance scientific computing and data analysis for 
challenging applications ranging from astrophysics to molecular 
simulations. She is a SIAM Fellow and the recipient of an ERC Synergy 
Grant. In 2024 she was awarded the SIAM SIAG Supercomputing Career prize 
in acknowledgement of her outstanding contributions to scientific 
computing,  particularly communication-avoiding algorithms. For her work 
on communication-avoiding algorithms, she was awarded with her 
co-authors the SIAM Siag on Supercomputing Best Paper Prize 2016 for the 
most outstanding paper published in a refereed journal in 2012-2015 in 
the field of high-performance computing. Among others, she was the chair 
of PRACE Scientific Steering Committee, the Chair of the SIAM special 
interest group on supercomputing, and served as a member of SIAM Council 
between 2018 and 2023.


Best regards,
The SIAG/SC officers for 2026-2027
Matthias Bolten (chair)
Erin Carson (vice chair)
Martin Berzins (program director)
Albert-Jan Yzelman (secretary)