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Parallel processing (Electronic computers) --- Integrated circuits --- Very large scale integration --- parallel programmeren --- computerarchitectuur --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Very large scale integration of circuits --- VLSI circuits --- BASIC (Computer program language) --- Algorithmes --- Mathématiques --- Integrated circuits - Very large scale integration

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Automatic transformation of a sequential program into a parallel form is a subject that presents a great intellectual challenge and promises great practical rewards. There is a tremendous investment in existing sequential programs, and scientists and engineers continue to write their application programs in sequential languages (primarily in Fortran),but the demand for increasing speed is constant. The job of a restructuring compiler is to discover the dependence structure of a given program and transform the program in a way that is consistent with both that dependence structure and the characteristics of the given machine. Much attention in this field of research has been focused on the Fortran do loop. This is where one expects to find major chunks of computation that need to be performed repeatedly for different values of the index variable. Many loop transformations have been designed over the years, and several of them can be found in any parallelizing compiler currently in use in industry or at a university research facility. Loop Transformations for Restructuring Compilers: The Foundations provides a rigorous theory of loop transformations. The transformations are developed in a consistent mathematical framework using objects like directed graphs, matrices and linear equations. The algorithms that implement the transformations can then be precisely described in terms of certain abstract mathematical algorithms. The book provides the general mathematical background needed for loop transformations (including those basic mathematical algorithms), discusses data dependence, and introduces the major transformations. The next volume will build a detailed theory of loop transformations based on the material developed here. Loop Transformations for Restructuring Compilers: The Foundations presents a theory of loop transformations that is rigorous and yet reader-friendly.

Compilers (Computer programs). --- Loops (Group theory). --- Parallel processing (Electronic computers). --- Compilers (Computer programs) --- Loops (Group theory) --- Parallel processing (Electronic computers) --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Loop groups --- Group theory --- Compiling programs (Computer programs) --- Computer programs --- Programming software --- Systems software --- Computer science. --- Microprocessors. --- Computer Science. --- Processor Architectures. --- Computer Science, general.

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Programming --- DCE (distributed computing environment) --- informatica --- databanken --- OS (operating system) --- Parallel processing (Electronic computers) --- 681.3 *C2 --- 681.3*D13 --- 681.3*D33 --- 681.3*H24 --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Computer communication networks: data communications; OSI; security and protection --- Concurrent programming --- Languages constructs: abstract data types; concurrent programming structures;control structures; coroutines (Programming languages) --- Systems: concurrency; distributed systems; query processing; transaction processing (Database management) --- 681.3*H24 Systems: concurrency; distributed systems; query processing; transaction processing (Database management) --- 681.3*D33 Languages constructs: abstract data types; concurrent programming structures;control structures; coroutines (Programming languages) --- 681.3*D13 Concurrent programming --- 681.3 *C2 Computer communication networks: data communications; OSI; security and protection

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Motion perception (Vision) --- Visual cortex --- Neural networks (Computer science) --- Neural Networks, Computer. --- Pattern Recognition, Visual --- Motion Perception --- Physiology --- Biological Science Disciplines --- Visual Perception --- Artificial Intelligence --- Form Perception --- Pattern Recognition, Physiological --- Pattern Recognition, Automated --- Mathematical Concepts --- Information Science --- Computing Methodologies --- Perception --- Phenomena and Processes --- Space Perception --- Natural Science Disciplines --- Mental Processes --- Disciplines and Occupations --- Psychological Phenomena and Processes --- Psychiatry and Psychology --- Neuroscience --- Human Anatomy & Physiology --- Health & Biological Sciences --- Psychologic Processes --- Psychologic Processes and Principles --- Psychological Processes --- Phenomena, Psychological --- Processes, Psychologic --- Processes, Psychological --- Psychological Phenomenas --- Psychological Processe --- Natural Sciences --- Physical Sciences --- Discipline, Natural Science --- Disciplines, Natural Science --- Natural Science --- Natural Science Discipline --- Physical Science --- Science, Natural --- Science, Physical --- Sciences, Natural --- Sciences, Physical --- Perception, Space --- Perceptions, Space --- Space Perceptions --- Spatial Learning --- Sensory Processing --- Processing, Sensory --- Sensation --- High Performance Computing --- Methodologies, Computing --- Computing Methodology --- Computing, High Performance --- Methodology, Computing --- Performance Computing, High --- Information Sciences --- Science, Information --- Sciences, Information --- Concept, Mathematical --- Concepts, Mathematical --- Mathematical Concept --- Automated Pattern Recognition --- Pattern Recognition System --- Pattern Recognition Systems --- Pattern Recognition, Auditory --- Pattern Recognition, Tactile --- Auditory Pattern Recognition --- Physiological Pattern Recognition --- Recognition, Auditory Pattern --- Recognition, Physiological Pattern --- Recognition, Tactile Pattern --- Tactile Pattern Recognition --- Contour Perception --- Contour Perceptions --- Form Perceptions --- Perception, Contour --- Perception, Form --- Perceptions, Contour --- Perceptions, Form --- Contrast Sensitivity --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Visual Processing --- Perception, Visual --- Processing, Visual --- Vision, Ocular --- Biologic Sciences --- Biological Science --- Science, Biological --- Sciences, Biological --- Biological Sciences --- Life Sciences --- Biologic Science --- Biological Science Discipline --- Discipline, Biological Science --- Disciplines, Biological Science --- Life Science --- Science Discipline, Biological --- Science Disciplines, Biological --- Science, Biologic --- Science, Life --- Sciences, Biologic --- Sciences, Life --- Movement Perception --- Perception, Motion --- Perception, Movement --- Recognition, Visual Pattern --- Visual Pattern Recognition --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Area striata --- Striate area --- Striate cortex --- Occipital lobes --- Movement perception (Vision) --- Speed perception --- Movement, Psychology of --- Vision --- Visual perception --- Human Information Processing --- Information Processing, Human --- Computational Neural Networks --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Neural Networks (Computer) --- Perceptrons --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Computational Neural --- Network, Computer Neural --- Network, Neural (Computer) --- Networks, Computational Neural --- Networks, Computer Neural --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational --- Perceptron --- Computer simulation --- Motion Capture --- Occupations --- Psychological Phenomena --- Psychiatry