Software Training in HEP. - Sudhir Malik; Samuel Meehan; Kilian Lieret; Meirin Oan Evans; Michel Hernández Villanueva; Daniel S. Katz; Graeme A. Stewart; Peter Elmer; Sizar Aziz; Matthew Bellis; Riccardo Maria Bianchi; Gianluca Bianco; et al. (Comput. Softw. Big Sci., 2021)

Modelling Performance Loss due to Thread Imbalance in Stochastic Variable-Length SIMT Workloads. - Stephen Nicholas Swatman; Ana Lucia Varbanescu; Attila Krasznahorkay; Andy D. Pimentel (MASCOTS, 2022)

Isolating GPU Architectural Features Using Parallelism-Aware Microbenchmarks. - Rico van Stigt; Stephen Nicholas Swatman; Ana Lucia Varbanescu (ICPE, 2022)

Performance Engineering for Graduate Students: a View from Amsterdam. - Ana Lucia Varbanescu; Stephen Nicholas Swatman; Anuj Pathania (SC Workshops, 2023)

Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition. - Stephen Nicholas Swatman; Ana Lucia Varbanescu; Andy D. Pimentel; Andreas Salzburger; Attila Krasznahorkay (ICPE, 2023)

Finding Morton-Like Layouts for Multi-Dimensional Arrays Using Evolutionary Algorithms. - Stephen Nicholas Swatman; Ana Lucia Varbanescu; Andy D. Pimentel; Andreas Salzburger; Attila Krasznahorkay (CoRR, 2023)

Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research. - Uraz Odyurt; Stephen Nicholas Swatman; Ana Lucia Varbanescu; Sascha Caron (ICCS (2), 2024)

Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays. - Stephen Nicholas Swatman; Ana Lucia Varbanescu; Andy D. Pimentel; Andreas Salzburger; Attila Krasznahorkay (ICPE, 2024)