Adaptive Multiprocessor Systems-on-Chip Architectures - Marchesan Almeida, Gabriel
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Multiprocessor Systems-on-Chip (MPSoC) offer superior performance while maintaining flexibility and reusability thanks to software oriented personalization. While most MPSoCs are today heterogeneous for better meeting the targeted application requirements, homogeneous MPSoCs may become in a near future a viable alternative bringing other benefits such as run-time load balancing, task migration and dynamic frequency scaling. This book relies on a homogeneous NoC-based MPSoC platform developed for exploring scalable and adaptive on-line continuous mapping techniques. Each processor of this…mehr

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Produktbeschreibung
Multiprocessor Systems-on-Chip (MPSoC) offer superior performance while maintaining flexibility and reusability thanks to software oriented personalization. While most MPSoCs are today heterogeneous for better meeting the targeted application requirements, homogeneous MPSoCs may become in a near future a viable alternative bringing other benefits such as run-time load balancing, task migration and dynamic frequency scaling. This book relies on a homogeneous NoC-based MPSoC platform developed for exploring scalable and adaptive on-line continuous mapping techniques. Each processor of this system is compact and runs a tiny preemptive operating system that monitors various metrics and is entitled to take remapping decisions through code migration techniques and dynamic frequency scaling. This approach that endows the architecture with decisional capabilities permits refining application implementation at run-time according to various criteria.
Autorenporträt
Gabriel is currently an assistant researcher at Karlsruhe Institute of Technology (KIT), in Germany. He received his BSc. Degree in Computer Science from URI, Brazil in 2004 and his MSc. in Computer Science from PUCRS, Brazil in 2007. In 2008 he moved to Montpellier, France, where he got his PhD in Microelectronics from University of Montpellier 2.