3 papers
cs.DC2026
Cross-Layer Energy Analysis of Multimodal Training on Grace Hopper Superchips
Mahmoud Ahmed, Sameh Abdulah, Olatunji Ruwase +4
Multimodal deep learning models enable joint learning across heterogeneous data sources, including text, images, and video, but their rapid scaling introduces significant memory an…
physics.flu-dyn2025
Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow
Mathis Bode, Damian Alvarez, Paul Fischer +10
Turbulent heat and momentum transfer processes due to thermal convection cover many scales and are of great importance for several natural and technical flows. One consequence is t…
cs.DC2024
Application-Driven Exascale: The JUPITER Benchmark Suite
Andreas Herten, Sebastian Achilles, Damian Alvarez +28
Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real appli…