Abstract. We present a strategy to develop, in a functional setting, correct, e cient and portable Divide-and-Conquer (DC) programs for massively parallel architectures. Starting f...
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Distributed shared objects are a well known approach to achieve independenceof the memory model for parallel programming. The illusion of shared (global) objects is a conabstracti...
This paper describes an object-oriented framework for solving computational fluid dynamics problems on parallel computers. The design and components of the framework are discussed ...
OpenMP has emerged as an important model and language extension for shared-memory parallel programming. On shared-memory platforms, OpenMP offers an intuitive, incremental approac...