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Photovoltaic power generation --- Silicon solar cells

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As part of the growing sustainable and renewable energy movement, the design, manufacture and use of photovoltaic devices is increasing in pace and frequency. The Handbook of Photovoltaics will be a 'benchmark' publication for those involved in the design, manufacture and use of these devices. The Handbook covers the principles of solar cell function, the raw materials, photovoltaic systems, standards, calibration, testing, economics and case studies. The editors have assembled a cast of internationally-respected contributors from industry and academia. The report is

Photovoltaic cells. --- Photovoltaic cells. Photovoltaic power generation. --- Photovoltaic power generation. --- Photovoltaic power systems. --- Photovoltaic cells --- Photovoltaic power generation --- Photovoltaic power systems --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Photovoltaic energy conversion --- Photovoltaics --- Direct energy conversion --- Solar energy --- Solar batteries --- Photoelectric cells --- Environmental Sciences --- Sustainable Development --- Cellules photovoltaïques --- Conversion photovoltaïque --- ELSEVIER-B EPUB-LIV-FT

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zonne-energie --- solar power --- Architecture --- Solar physics --- Architecture and solar radiation --- Architecture and solar radiation. --- Photovoltaic power generation --- Photovoltaic power generation. --- Solar buildings --- Solar buildings. --- Solar-heated buildings --- Sun-heated buildings --- Photovoltaic energy conversion --- Photovoltaics --- Solar architecture --- Solar radiation and architecture --- Sun protection in architecture --- Buildings --- Solar heating --- Direct energy conversion --- Solar energy --- Solar batteries --- Solar radiation

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Compilers (Computer programs) --- Compilateurs (Logiciels) --- 681.3*D34 --- Compiling programs (Computer programs) --- Computer programs --- Programming software --- Systems software --- Processors: code generation compilers interpreters optimization parsing preprocessors run-time environments translator writing systems and compilergenerators (Programming languages) --- 681.3*D34 Processors: code generation compilers interpreters optimization parsing preprocessors run-time environments translator writing systems and compilergenerators (Programming languages) --- 681.3*C --- Computer systems organization: hardware/software interfaces; instruction set design; system architectures; systems specification methodology --- Processors: code generation; compilers; interpreters; optimization; parsing; preprocessors; run-time environments; translator writing systems and compilergenerators (Programming languages) --- 681.3*D34 Processors: code generation; compilers; interpreters; optimization; parsing; preprocessors; run-time environments; translator writing systems and compilergenerators (Programming languages) --- 681.3*C Computer systems organization: hardware/software interfaces; instruction set design; system architectures; systems specification methodology --- Programming --- Computer science --- Computer architecture. Operating systems

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In Symbolic Analysis for Parallelizing Compilers the author presents an excellent demonstration of the effectiveness of symbolic analysis in tackling important optimization problems, some of which inhibit loop parallelization. The framework that Haghighat presents has proved extremely successful in induction and wraparound variable analysis, strength reduction, dead code elimination and symbolic constant propagation. The approach can be applied to any program transformation or optimization problem that uses properties and value ranges of program names. Symbolic analysis can be used on any transformational system or optimization problem that relies on compile-time information about program variables. This covers the majority of, if not all optimization and parallelization techniques. The book makes a compelling case for the potential of symbolic analysis, applying it for the first time - and with remarkable results - to a number of classical optimization problems: loop scheduling, static timing or size analysis, and dependence analysis. It demonstrates how symbolic analysis can solve these problems faster and more accurately than existing hybrid techniques.

Compilers (Computer programs). --- Parallel processing (Electronic computers). --- Compilers (Computer programs) --- Parallel processing (Electronic computers) --- 681.3*D34 --- 681.3*D34 Processors: code generation compilers interpreters optimization parsing preprocessors run-time environments translator writing systems and compilergenerators (Programming languages) --- Processors: code generation compilers interpreters optimization parsing preprocessors run-time environments translator writing systems and compilergenerators (Programming languages) --- Compiling programs (Computer programs) --- Computer science. --- Microprocessors. --- Computer Science. --- Processor Architectures. --- Computer Science, general. --- 681.3*D34 Processors: code generation; compilers; interpreters; optimization; parsing; preprocessors; run-time environments; translator writing systems and compilergenerators (Programming languages) --- Processors: code generation; compilers; interpreters; optimization; parsing; preprocessors; run-time environments; translator writing systems and compilergenerators (Programming languages) --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Computer programs --- Programming software --- Systems software