Performance prediction of massively parallel computation by Bayesian inference

A performance prediction method for massively parallel computation is proposed. The based on modeling and Bayesian inference to predict elapsed time T as a function of the number used nodes P (T=T(P)). focus extrapolation larger values from perspective application researchers. proposed has several improvements over developed in previous paper, real-symmetric generalized eigenvalue problem shows promising results. generalizable applicable many other computations.