2 papers
cs.DC2026
Controlled Periodic Synchronization for Efficient Data-Parallel Training
Imane Ettifouri, Mostapha Zbakh, Claude Tadonki
Data-parallel training relies on frequent gradient synchronization across workers. Standard DDP synchronizes gradients at every iteration, which is effective on fast local-area net…
cs.CY2026
Energy Concerns with HPC Systems and Applications
Roblex Nana, Claude Tadonki, Petr Dokladal +1
For various reasons including those related to climate changes, {\em energy} has become a critical concern in all relevant activities and technical designs. For the specific case o…