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CONTENIDO:

High-performance computers are increasingly in demand in the areas of structural analysis, weather forecasting, petroleum exploration, fusion energy research, medical diagnosis, aerodynamics simulations, artificial intelligence, expert systems, industrial automation, remote sensing, military defense, genetic engineering, and socioeconomics, among many other scientific and engineering applications. Without superpower computers, many of these challenges to advance human civilization cannot be made within a reasonable time period. Achieving high performance depends not only on using faster and more reliable hardware devices but also on major improvements in computer architecture and processing techniques. This book is devoted to studying advanced computer architectures, theories of parallel computing, optimal resource allocation, fast algorithms, efficient programming languages, and application requirements of cost-effective computer systems to meet the above demands. Advanced computer architectures are centered around the concept of parallel processing. State-of-the-art parallel computer systems can be characterized into three structural classes: pipelined computers, array processors, and multiprocessor systems. The development and application of these computer systems require a broad knowledge of the underlying hardware and software structures and close interactions between parallel computing algorithms and the optimal allocation of machine resources. This book provides the readers with the necessary knowledge to design a new computer system; to improve an existing one; to develop fast computing algorithms; and to allocate hardware-software resources in solving large-scale computing problems. The book is designed to be used by seniors and/or graduate students in computer science, electrical engineering, industrial engineering, and in any other fields demanding the use of high-performance mainframe computers, attached vector processors, scientific supercomputers, and multiprocessors to solve specific applications problems. Parallel processing can be applied at the hardware/software system level or at the algorithmic and programming level.