Presenter

Olaf Schenk
Universita della Svizzera italiana
Presentations
Minisymposium
RACE: Speeding up Spectral Clustering and Iterative Solvers using Level-Based Parallelization and Blocking Techniques
Computer Science and Applied Mathematics
Minisymposium
Sparse Quadratic Approximation for Graph Learning
Computer Science and Applied Mathematics
Minisymposium
Parallelized Integrated Nested Laplace Approximations for Fast Bayesian Inference
Computer Science and Applied Mathematics
Chair of Sessions
Minisymposium
MS5D - High-Performance Machine Learning: Scale and Performance (Part I)
Computer Science and Applied Mathematics
Minisymposium
MS6D - High-Performance Machine Learning: Scale and Performance (Part II)
Computer Science and Applied Mathematics