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Ihr Team von Sack Fachmedien
Rahmani / Liljeberg / Hemani The Dark Side of Silicon
1. Auflage 2017
ISBN: 978-3-319-31596-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Energy Efficient Computing in the Dark Silicon Era
E-Book, Englisch, 347 Seiten
Reihe: Engineering
ISBN: 978-3-319-31596-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book presents the state-of-the art of one of the main concerns with microprocessors today, a phenomenon known as "dark silicon". Readers will learn how power constraints (both leakage and dynamic power) limit the extent to which large portions of a chip can be powered up at a given time, i.e. how much actual performance and functionality the microprocessor can provide. The authors describe their research toward the future of microprocessor development in the dark silicon era, covering a variety of important aspects of dark silicon-aware architectures including design, management, reliability, and test. Readers will benefit from specific recommendations for mitigating the dark silicon phenomenon, including energy-efficient, dedicated solutions and technologies to maximize the utilization and reliability of microprocessors.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Dark vs. Dim Silicon and Near-Threshold Computing.- The SiLago Solution: Architecture and Design Methods for a Heterogeneous Dark Silicon aware Coarse Grain Reconfigurable Fabric.- Heterogeneous Dark Silicon Chip Multi-Processors Design and Run-time Management.- Thermal Safe Power (TSP) - Efficient Thermal-Aware Power Budgeting for Manycore Systems in Dark Silicon.- Power Management of Asymmetric Multi-Cores in the Dark Silicon Era.- Multi-Objective Power Management for CMPs in the Dark Silicon Age.- Robust Application Scheduling with Adaptive Parallelism in Dark-Silicon Constrained Multicore Systems.- Dark Silicon Patterning: Ef?cient Power Utilization through Run-time Mapping.- Online Software-Based Self-Testing in the Dark Silicon Era.- Adroit Use of Dark Silicon for Power, Performance and Reliability Optimization of NoCs.- NoC-aware Computational Sprinting.-




