Session 1

Session 2

• Sherry LI: Batched Sparse Direct Solver Design and Evaluation in SuperLU DIST

• Antoine JEGO: BLAS-based Block Memory Accessors with Applications to Mixed-Precision Sparse Direct Solvers – [Cancelled]

• George DELIC: Accelerating Sparse Matrix Algorithms in Global Climate and Air Quality Models

• Weifeng LIU: Scaling Up Sparse Direct Solvers on GPU Clusters

Session 3

• Petr VACEK: Mixed precision multigrid V-cycle method

• Sai Aakash DASARI: Extrapolated Geometric Multigrid Solver for Poisson-like Equations on Tokamak Geometries

• Samuel DUARTE DOS SANTOS: Learning Convolutional Smoothing Operators for Multigrid Solvers of the 2D Poisson Equation

• Jimmie ADRIAZOLA: Computer Assisted Discovery of Integrability via SILO Sparse Identification of Lax Operators

Session 4

• Theo MARY: Mixed precision strategies for preconditioned GMRES

• Matthieu ROBEYNS: Mixed precision randomized low-rank approximation with GPU tensor cores

• Karmijn HOOGVELD: A survey on randomized low-rank approximation algorithms

• Tom CARUSO: Mixed Precision in Domain Decomposition Preconditioner Perturbation Analysis and Practical Guidelines

• Miroslav TŮMA: Solving sparse linear least-squares using low precision incomplete Cholesky-preconditioning

Session 5

• Joost ROMMES: Accelerated sparse linear algebra and related developments for GPU and hybrid CPU+GPU computing

• Yu-Hsiang TSAI: Recent Advancements in the Sparse Linear Algebra Library Ginkgo

• Stojche NAKOV: Scalable Domain Decomposition Methods for Large Sparse Linear Systems on Modern Architectures

Session 6

• Andrew WATHEN: Preconditioning and iteration for indefinite linear systems

• Yongseok JANG: Combining mixed precision with deflation and augmentation for accelerating GMRES

• Alexandre MALHÉNÉ: Practical backward error based stopping criteria for GMRES