Phase-based tuning methodologies specialize system parameters for each application phase of execution. Parameters are varied during execution, as opposed to remaining fixed as in ...
Abstract. Many evolutionary algorithm applications involve either fitness functions with high time complexity or large dimensionality (hence very many fitness evaluations will typi...
Tuning the performance of applications requires understanding the interactions between code and target architecture. This paper describes a performance modeling approach that not ...
Abstract. Designing and tuning parallel applications with MPI, particularly at large scale, requires understanding the performance implications of different choices of algorithms ...
Torsten Hoefler, William Gropp, Rajeev Thakur, Jes...
—This paper presents methods of modeling and predicting face recognition (FR) system performance based on analysis of similarity scores. We define the performance of an FR system...