Presentation
Analysis of Power Consumption and GPU Power Capping for MILC
SessionSustainable Supercomputing
DescriptionPower has been a key constraint for supercomputers, and limitations on power become increasingly noticeable through the exascale era. Limited power availability pushes the facilities to operate under power constraints and develop power management methods, making it crucial to understand applications' power consumption behavior and their performance under power constraints. In this study, we examine the power consumption of MILC, a widely used lattice quantum chromodynamics application, on the Perlmutter GPU system at NERSC. We analyze the power consumption of Generation and Spectrum applications of MILC using varying parallel concurrencies and input sizes. We then investigate the performance under GPU power caps and show that MILC is well-suited for GPU power capping. Up to 50% of GPU's TDP can be applied to MILC jobs with less than 15% of performance decrease.
