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One of the major breakthroughs in VLSI technology has been its ability to implement signal processing algorithms and architectures onto cost-effective ASIC and DSP chips. Works in this area are highly interdisciplinary;...

The growing processing power of standard workstations, along with the relatively easy way in which they can be available for parallel processing, have both contributed to their increasing use in computation intensive app...

The book intends to address the important aspects of high-performance signal processing with a focus on the recent development of VLSI technology for signal processing. The editors collect much of all the research effor...

Fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropiate tools for Intelligent Computer Systems. But on the other hand, learning alg...

Learning algorithms for neural networks involve CPU intensive processing and consequently great effort has been done to develop parallel implemetations intended for a reduction of learning time. This work briefly descri...

En este trabajo se presentan las alternativas y los resultados de rendimiento obtenidos del análisis de las alternativas de paralelización en clusters de nodos con múltiples núcleos. El objetivo final es mostrar si e...

The discipline of Software Engineering has a history dating back to 1968. However, it is only during the last ten years that real efforts have been made to address it as a profession with appropriate educational support...

El hombre desde que nace empieza a aprender. Algunos conocimientos se adquieren sin percatarnos de ellos, otros necesitan esfuerzos y dedicación, algunos son estrictamente necesarios, otros no lo son tanto. El proceso d...

Features such as fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropriate tools for Intelligent Computer Systems. A neural network ...

Data parallelislm is one of the more successful efforts to introduce explicit parallelism to high level programming languages. This approach is taken because many useful computations can be framed in term of a set of ind...