Predicting the behavior of physical systems is essential to both common sense and engineering tasks. It is made especially challenging by the lack of complete precise knowledge of...
Abstract. Empirical optimizers like ATLAS have been very effective in optimizing computational kernels in libraries. The best choice of parameters such as tile size and degree of l...
Performance and preference measures are commonly used in the assessment of visualization techniques. This is important and useful in understanding differences in effectiveness bet...
Model-driven performance prediction methods require detailed design models to evaluate the performance of software systems during early development stages. However, the complexity...
Abstract. Predicting the performance of component-based applications is difficult due to the complexity of the underlying component technology. This problem is exacerbated when a m...