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Despite the tremendous advances in performance enabled by modern architectures, there are always new applications and demands arising that require ever-increasing capabilities. Keeping up with these demands requires a deep-seated understanding of contemporary architectures in concert with a fundamental understanding of basic principles that allows one to anticipate what will be possible over the system's lifetime. Advanced Computer Architectures focuses on the design of high performance supercomputers with balanced coverage of the hardware, software structures, and application characteristics. This book is a timeless distillation of underlying principles punctuated by real-world implementations in popular current and past commercially available systems. It briefly reviews the basics of uniprocessor architecture before outlining the most popular processing paradigms, performance evaluation, and cost factor considerations. This builds to a discussion of pipeline design and vector processors, data parallel architectures, and multiprocessor systems.
Rounding out the book, the final chapter explores some important current and emerging trends such as Dataflow, Grid, biology-inspired, and optical computing. More than 220 figures, tables, and equations illustrate the concepts presented. Based on the author's more than thirty years of teaching and research, Advanced Computer Architectures endows you with the tools necessary to reach the limits of existing technology, and ultimately, to break them.
INTRODUCTION Computing Paradigms The Need for Advanced Architectures Book Overview References UNIPROCESSOR ARCHITECTURE OVERVIEW Uniprocessor Model Enhancement to the Uniprocessor Model Example Systems Summary References Problems MODELS AND TERMINOLOGY Effect of Application on the Architecture Application Characteristics Processing Paradigms Flynn's Taxonomy Computer Networks Performance Evaluation Cost Factor Summary References Problems PIPELINING Pipeline Model Pipeline Control and Performance Other Pipeline Problems Dynamic Pipelines Example Systems Summary References Problems VECTOR PROCESSORS Vector Processor Models Memory Design Considerations Architecture of the Cray Series Performance Evaluation Programming Vector Processors Example Systems Summary References Problems ARRAY PROCESSORS SIMD Organization Data Storage Techniques and Memory Organization Interconnection Networks Performance Evaluation and Scalability Programming SIMDs Example Systems Summary References Problems MULTIPROCESSOR SYSTEMS MIMD Organization Memory Organization Interconnection Networks Operating System Considerations Programming Performance Evaluation and Scalability Example Systems Summary References Problems CURRENT DIRECTIONS Dataflow Architectures GRID Computing Biology Inspired Computing Optical Computing References
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