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This book explores near-threshold computing (NTC), a design-space using techniques to run digital chips (processors) near the lowest possible voltage.  Readers will be enabled with specific techniques to design chips that are extremely robust; tolerating variability and resilient against errors.  Variability-aware voltage and frequency allocation schemes will be presented that will provide performance guarantees, when moving toward near-threshold manycore chips.  ·         Provides an introduction to near-threshold computing, enabling reader with a variety of tools to face the challenges of the power/utilization wall; ·         Demonstrates how to design efficient voltage regulation, so that each region of the chip can operate at the most efficient voltage and frequency point; ·         Investigates how performance guarantees can be ensured when moving towards NTC manycores through variability-aware voltage and frequency allocation schemes.  .

Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Microwave circuits --- Electronic circuit design. --- Modulation (Electronics) --- Design and construction. --- Radio modulation --- Electronic circuits --- Circuits, Microwave --- Design --- Electronics --- Modulation theory --- Radio --- Signal theory (Telecommunication) --- Microwave devices --- Systems engineering. --- Computer science. --- Circuits and Systems. --- Processor Architectures. --- Electronic Circuits and Devices. --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Electronic circuits. --- Microprocessors. --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes

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This book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques. It demonstrates that not all the optimization passes are suitable for use within an optimization sequence and that, in fact, many of the available passes tend to counteract one another. After providing a comprehensive survey of currently available methodologies, including many experimental comparisons with state-of-the-art compiler frameworks, the book describes new approaches to solving the problem of selecting the best compiler optimizations and the phase-ordering problem, allowing readers to overcome the enormous complexity of choosing the right order of optimizations for each code segment in an application. As such, the book offers a valuable resource for a broad readership, including researchers interested in Computer Architecture, Electronic Design Automation and Machine Learning, as well as computer architects and compiler developers.

Compilers (Computer programs) --- Machine learning. --- Engineering. --- Programming languages (Electronic computers). --- Artificial intelligence. --- Computer simulation. --- Computational intelligence. --- Computational Intelligence. --- Programming Languages, Compilers, Interpreters. --- Simulation and Modeling. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Construction --- Industrial arts --- Technology --- Learning, Machine --- Compiling programs (Computer programs) --- Computer programs --- Programming software --- Systems software --- Computer science. --- Artificial Intelligence. --- Informatics --- Science