10 citations · 14 across the 4 of their papers we have counts for
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cs.AR2024★ 4 cited
Performance and Power: Systematic Evaluation of AI Workloads on Accelerators with CARAML
Chelsea Maria John, Stepan Nassyr, Carolin Penke +1
The rapid advancement of machine learning (ML) technologies has driven the development of specialized hardware accelerators designed to facilitate more efficient model training. Th…
cs.DC2024★ 10 cited
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…