People in Linear Algebra - World Wide

We use cookies for analytics.

Daniel Szyld

Temple University · as of May 2026

2 talks

Latest · May 5, 2026

Provable Convergence rate for Asynchronous methods via Randomized Gauss-Seidel

Marty Weissman

University of California, Santa Cruz · as of Oct 2026

1 talk

Latest · Oct 6, 2026

High tech and no tech: intention and pedagogy in a modeling-based calculus course

Daniel Bartl

National University of Singapore · as of Oct 2026

1 workshop

Latest · Oct 5, 2026

AI in Scientific Computing – Training School

Maximilian Herde

ETH Zürich · as of Oct 2026

1 workshop

Latest · Oct 5, 2026

AI in Scientific Computing – Training School

Stanislav Budzinskiy

University of Vienna · as of Nov 2026

2 workshops

Latest · Oct 5, 2026

AI in Scientific Computing – Training School

Katarzyna Swirydowicz

Advanced Micro Devices (AMD) · as of May 2026

1 talk

Latest · May 8, 2026

Asynchronous Methods on AMD GPU-Based Systems

Yousef Saad

University of Minnesota · as of May 2026

1 talk

Latest · May 7, 2026

Relaxed gradient-type descent methods

Matthias Bolten

Bergische Universität Wuppertal · as of May 2026

1 talk

Latest · May 6, 2026

Multigrid methods on high performance computers

Vasileios Kalantzis

IBM Research · as of May 2026

1 talk

Latest · May 5, 2026

Straggler-Tolerant Iterative Methods for Linear Systems and Eigenvector Computations with Partial Matrix-Vector Products

Evan Coleman

University of Mary Washington · as of May 2026

1 talk

Latest · May 5, 2026

Acceleration and Adaptive Selection in Asynchronous Iterative Solvers

Erik Boman

Sandia National Laboratories · as of May 2026

1 talk

Latest · May 5, 2026

Asynchronous preconditioners and linear solvers

Paritosh Ramanan

Oklahoma State University · as of May 2026

1 talk

Latest · May 4, 2026

Fault-Tolerant, Distributed In-Memory Computing for Large-Scale Linear Algebra and Optimization: An Algorithm–Hardware Co-Design Approach

Edmond Chow

Georgia Institute of Technology · as of May 2026

1 talk

Latest · May 4, 2026

Asynchronous Iterative Methods: From Numerical Solvers to Reinforcement Learning

Misha Kilmer

Tufts University · as of Feb 2026

1 talk

Latest · Feb 6, 2026

Structured Matrix Approximations via Tensor Decompositions

Robert Gower

Flatiron Institute · as of Feb 2026

1 talk

Latest · Feb 6, 2026

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm

David Woodruff

Carnegie Mellon University · as of Feb 2026

2 talks

Latest · Feb 6, 2026

Tight Sampling Bounds for Eigenvalue Approximation

Robert Webber

UC San Diego · as of Feb 2026

1 talk

Latest · Feb 5, 2026

Everything is Vecchia: Unifying low-rank and sparse inverse approximations

Alice Cortinovis

University of Pisa · as of Feb 2026

1 talk

Latest · Feb 5, 2026

An adaptive randomized pivoting strategy for low-rank approximation

Tyler Chen

JPMorganChase · as of Feb 2026

1 talk

Latest · Feb 5, 2026

Preconditioning without a preconditioner using block Krylov subspace methods

Michal Dereziński

University of Michigan · as of Feb 2026

1 talk

Latest · Feb 5, 2026

Closing the Theory-Practice Gap in Oblivious Subspace Embeddings