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In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading...

Implicitly exploitable parallelism for Logic Programming has received ample attention. Defeasible Argutmentation is specially apt for this optimizing technique. Defeasible Logic Programming (DLP), which is based on a def...

This work presents the authors investigation regarding the application of parallel processing to the design of grounding systems, comprising concrete encased electrodes. The natural parallelism of the involved tasks and ...

In this book, Hansen presents a collection of structured multicomputer programs for computational science, with the unifying idea of programming paradigm. Facultad de Informática

The book Using OpenMP: Portable Shared Memory Parallel Programming, presents OpenMP more than appropriately, from the perspective of high performance computing, which traditionally has provided most (if not all) the para...

In this paper we explore different situations in which collaborative agents have to communicate among themselves using standard interaction protocols. We will propose how to process these interactions in parallel without...

This book makes a clear presentation of the traditional topics included in a course of undergraduate parallel programming. As explained by the authors, it was developed from their own experience in classrooms, introducin...

Q-Learning is a Reinforcement Learning method for solving sequential decision problems, where the utility of actions depends on a sequence of decisions and there exists uncertainty about the dynamics of the environment t...

This thesis defines Defeasible Logic Programming and provides a concrete specification of this new language through its operational semantics. Defeasible Logic Programming, or DeLP for short, has been defined based on th...

Migration of individuals allows a fruitful interaction between subpopulations in the island model, a well known distributed approach for evolutionary computing, where separate subpopulations evolve in parallel. This mode...

The resource utilization level in open laboratories of several universities has been shown to be very low. Our aim is to take advantage of those idle resources for parallel computation without disturbing the local load. ...

The parallel computing model used in this paper, the Collective Computing Model (CCM), is a variant of the well-known Bulk Synchronous Parallel (BSP) model. The synchronicity imposed by the BSP model restricts the set of...

El objetivo de este trabajo es mostrar la aceleración en el tiempo de cómputo del algoritmo criptográfico Advanced Encryption Standard (AES) con clave de tamaño 128bits, que se obtiene al aprovechar el paralelismo qu...

Como objetivo inicial de esta tesina se encuentra la investigación de modelos de sincronización para aplicaciones paralelas de alta complejidad computacional sobre cluster de multicores, teniendo en cuenta el auge de e...

Current performance prediction analytical models try to characterize the performance behavior of actual machines through a small set of parameters. Due to different factors, the predicted times suffer substantial deviati...

When IBM's John Backus first developed the Fortran programming language, back in 1957, he certainly never dreamt that it would become a world-wide success and still be going strong many years later. Given the oft-repeate...

Parallel/distributed programming is a complex task that requires a high degree of expertise to fulfill the expectations of high performance computation. The Master/Worker paradigm is one of the most commonly used because...