| 書目名稱 | Energy Efficient High Performance Processors |
| 副標題 | Recent Approaches fo |
| 編輯 | Jawad Haj-Yahya,Avi Mendelson,Anupam Chattopadhyay |
| 視頻video | http://file.papertrans.cn/311/310271/310271.mp4 |
| 概述 | Maximizes readers’ insights into the power management of modern high-performance processors for energy efficiency.Shares numerous tips for designing robust and scalable power management subsystems for |
| 叢書名稱 | Computer Architecture and Design Methodologies |
| 圖書封面 |  |
| 描述 | 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 |
| 出版日期 | Book 2018 |
| 關鍵詞 | Superscalars Power-Management; Energy-Efficiency; Power-Estimation; Dynamic-Optimizations; Green High-Pe |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-8554-3 |
| isbn_softcover | 978-981-13-4184-7 |
| isbn_ebook | 978-981-10-8554-3Series ISSN 2367-3478 Series E-ISSN 2367-3486 |
| issn_series | 2367-3478 |
| copyright | Springer Nature Singapore Pte Ltd. 2018 |