Avi Mendelson – författare

This book constitutes the refereed proceedings of the 9th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2019, held in Gandhinagar, India, in December 2019. The 12 full papers presented were carefully reviewed and selected from 24 submissions. This annual event is devoted to various aspects of security, privacy, applied cryptography, and cryptographic engineering. This is a very challenging field, requiring the expertise from diverse domains, ranging from mathematics to solid-state circuit design.

Shakespeare and Early Modern Madness, the first collection to focus on madness and mental health in early modern drama, is energized by the belief that madness is a variable concept, situated among a rapidly shifting series of cultural vectors. In addition to investigating the ubiquity of mental health tropes in Shakespearean theater, and their appearance in plays by Ben Jonson and Christopher Marlowe, the volume showcases Renaissance madness’s impressive variety: its affiliation with mental states as different as demonic possession, melancholic dreams, ecstasy and rapture, rage and fury, excessive grief, and aesthetic pleasure. The essays further demonstrate that madness in early modern drama can be approached through a diverse array of critical perspectives; their authors pull not only from historicist methodologies, disability studies, mad studies, and theories of gender and race, but also from the psychological and psychiatric sciences. The volume concludes with a section on activism and pedagogy, which asks how we can use early modern plays to promote the inclusion of students and scholars with lived experience of neurodiversity.

Shakespeare and Early Modern Madness, the first collection to focus on madness and mental health in early modern drama, is energized by the belief that madness is a variable concept, situated among a rapidly shifting series of cultural vectors. In addition to investigating the ubiquity of mental health tropes in Shakespearean theater, and their appearance in plays by Ben Jonson and Christopher Marlowe, the volume showcases Renaissance madness’s impressive variety: its affiliation with mental states as different as demonic possession, melancholic dreams, ecstasy and rapture, rage and fury, excessive grief, and aesthetic pleasure. The essays further demonstrate that madness in early modern drama can be approached through a diverse array of critical perspectives; their authors pull not only from historicist methodologies, disability studies, mad studies, and theories of gender and race, but also from the psychological and psychiatric sciences. The volume concludes with a section on activism and pedagogy, which asks how we can use early modern plays to promote the inclusion of students and scholars with lived experience of neurodiversity.

This book explores energy efficiency techniques for high-performance computing (HPC) systems using power-management methods. Adopting a step-by-step approach, it describes power-management flows, algorithms and mechanism that are employed in modern processors such as Intel Sandy Bridge, Haswell, Skylake and other architectures (e.g. ARM). Further, it includes practical examples and recent studies demonstrating how modem processors dynamically manage wide power ranges, from a few milliwatts in the lowest idle power state, to tens of watts in turbo state. Moreover, the book explains how thermal and power deliveries are managed in the context this huge power range. The book also discusses the different metrics for energy efficiency, presents several methods and applications of the power and energy estimation, and shows how by using innovative power estimation methods and new algorithms modern processors are able to optimize metrics such as power, energy, and performance. Different power estimation tools are presented, including tools that break down the power consumption of modern processors at sub-processor core/thread granularity. The book also investigates software, firmware and hardware coordination methods of reducing power consumption, for example a compiler-assisted power management method to overcome power excursions. Lastly, it examines firmware algorithms for dynamic cache resizing and dynamic voltage and frequency scaling (DVFS) for memory sub-systems.

This book explores energy efficiency techniques for high-performance computing (HPC) systems using power-management methods. Adopting a step-by-step approach, it describes power-management flows, algorithms and mechanism that are employed in modern processors such as Intel Sandy Bridge, Haswell, Skylake and other architectures (e.g. ARM). Further, it includes practical examples and recent studies demonstrating how modem processors dynamically manage wide power ranges, from a few milliwatts in the lowest idle power state, to tens of watts in turbo state. Moreover, the book explains how thermal and power deliveries are managed in the context this huge power range. The book also discusses the different metrics for energy efficiency, presents several methods and applications of the power and energy estimation, and shows how by using innovative power estimation methods and new algorithms modern processors are able to optimize metrics such as power, energy, and performance. Different power estimation tools are presented, including tools that break down the power consumption of modern processors at sub-processor core/thread granularity. The book also investigates software, firmware and hardware coordination methods of reducing power consumption, for example a compiler-assisted power management method to overcome power excursions. Lastly, it examines firmware algorithms for dynamic cache resizing and dynamic voltage and frequency scaling (DVFS) for memory sub-systems.

This book explores energy efficiency techniques for high-performance computing (HPC) systems using power-management methods. Adopting a step-by-step approach, it describes power-management flows, algorithms and mechanism that are employed in modern processors such as Intel Sandy Bridge, Haswell, Skylake and other architectures (e.g. ARM). Further, it includes practical examples and recent studies demonstrating how modem processors dynamically manage wide power ranges, from a few milliwatts in the lowest idle power state, to tens of watts in turbo state. Moreover, the book explains how thermal and power deliveries are managed in the context this huge power range. The book also discusses the different metrics for energy efficiency, presents several methods and applications of the power and energy estimation, and shows how by using innovative power estimation methods and new algorithms modern processors are able to optimize metrics such as power, energy, and performance. Different power estimation tools are presented, including tools that break down the power consumption of modern processors at sub-processor core/thread granularity. The book also investigates software, firmware and hardware coordination methods of reducing power consumption, for example a compiler-assisted power management method to overcome power excursions. Lastly, it examines firmware algorithms for dynamic cache resizing and dynamic voltage and frequency scaling (DVFS) for memory sub-systems.