Computación de alto desempeño en GPU . EDULP, 2011. ISBN 978-950-34-0759-2

The goal dynamics of agents within an SI, their intentions, capabilities, and action plans interacting within that system, are key elements to explain the dynamic performance of

In this context, our claim is that agents’ inten- tionality is a driver of the dynamics of Systems of Innovation (SI). This claim is based on a general approach in which

We analyze two branches: the training process to optimize the target speaker models and the performance of such systems under noisy conditions. The training of the models

The aim of the present study was to analyze the concurrence and interaction between different factors affecting the performance, such as central fatigue, peripheral fatigue

Analyzing the different sequential and parallel metaheuristics considering its energy consumption requires a deep investigation of the numerical performance, the execution time

The proposed 8-parallel radix-2 3 feedforward FFT reduces the memory requirements and latency of previous radix-8 feedforward FFTs [5], and the proposed 8-parallel radix-2 4

High Performance Cluster Computing Centre Supported by Dell and Intel Linux Cluster Information Center..

The main purpose of this investigation was to determine the effects of a High Intensity Interval Training (HIIT) intervention parallel to a moderate alcohol