Abstract. We show how computations such as those involved in American or European-style option price valuations with the explicit finite difference method can be performed in par...
In this paper we describe a compiler framework which can identify communication patterns for MPIbased parallel applications. This has the potential of providing significant perfo...
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...
We describe the application of a performance engineering methodology based on UML diagrams with annotations taken from the Profile for Schedulability, Performance and Time. The me...
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...