| Date | Subject | Speaker |
| | |
August,
2025 | A Constraint Programming Solver You Can Trust (But Don’t Have To) | Ciaran McCreesh |
| May, 2025 | Fine-Grained and Phase-Aware Frequency Scaling for Energy-efficient Computing on Heterogeneous Multi-GPU Systems | Lorenzo Carpentieri |
| February, 2024 | Efficient Computation through Tuned Approximation | David Keyes |
| June, 2021 | Enabling high-performance large-scale irregular computations | Maciej Besta |
| June, 2021 | Adaptiveness and Lock-free Synchronization in Parallel Stochastic Gradient Descent | Karl Bäckström |
| May, 2021 | Efficient Parallel Graph Processing on GPU using Approximate Computing | Somesh Singh |
| April, 2021 | Parallel Graph Learning and Computational Biology Through Sparse Matrices | Aydın Buluç |
| Feb., 2021 | Metaprogramming in Jupyter Notebooks | Jeremy Singer |
| Feb., 2021 | Addressing Practical HPC Problems: Fault Tolerance, Performance Portability, Parallelism Compilation | Giorgis Georgakoudis |
| Jan., 2021 | Parallel Algorithms for Density-Based and Structural Clustering | Julian Shun |
| Dec., 2020 | High-performance graph processing overview | Hans Vandierendonck |
| May, 2018 | Graph processing at the CSIT Summit | Hans Vandierendonck |
| July, 2018 | Graph processing lecture at MaRIONet Summer School | Hans Vandierendonck |
| July, 2017 | GraphGrind: Taming Irregular Memory Accesses in Graph Analytics Workloads | Hans Vandierendonck |
| | |
