Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Cache Energy Optimization Techniques For Modern Processors. Basic concepts, algorithms and architectures
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Sparsh Mittal
ISBN: 9783639517361
Год издания: 2013
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 148
Издательство: Scholars' Press
Цена: 39887 тг
Положить в корзину
Позиции в рубрикаторе
Отрасли знаний:Код товара: 125634
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: Recent years have witnessed a huge increase in the power consumption of computing systems ranging from embedded systems to supercomputers. Power issues now drive major design decisions in businesses and large-scale enterprises and hence, the knowledge of how power concerns influence processor architecture is important for both researchers and business policy-makers. This book discusses basic concepts, algorithms and architectures for cache energy optimization in single-core and multi-core systems, multitasking, real-time and QoS systems. It presents dynamic reconfiguration based energy saving techniques for caches designed with both conventional SRAM devices and emerging non-volatile devices such as STT-RAM. It also provides both qualitative and quantitative comparison with state-of-the-art cache energy saving techniques to stimulate the readers to take the frontiers beyond what has been presented here. This book will be useful for all those who are interested in power-aware computing and architecture design, be they students or researchers in computer architecture, chip designers, software engineers, technical marketing professionals or managers interested in low-power design.
Ключевые слова: energy efficiency, Green Computing, computer architecture, Dynamic cache reconfiguration, Dynamic profiling, Cache energy saving, Leakage energy saving, Low-power architecture, Multicore systems, QoS systems, Real-Time Systems