Extracting information from the data gathered by large cosmological surveys requires sophisticated theory modeling that combines physical models of our Universe, astrophysical models of galaxies, and telescope and survey-specific models of measurement uncertainties. The theory models involved are now quite sophisticated and typically have thirty to fifty parameters, making it hard to find plausible sets of parameters that describe the observational data. Therefore, even with the most advanced algorithms and software, analyses of modern cosmological datasets are costly, not only in the time required for computers to finish an analysis, but in energy needed to run the computers.