Reliable and Energy Efficient Streaming Multiprocessor Systems
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Beschreibung
This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.
Describes a systematic design flow for reliability and energy joint optimization for streaming multiprocessor systems, applicable to general-purpose as well as application specific streaming systems Employs run-time thermal optimization using machine learning to adapt to intra- and inter-application workload variations Includes Synchronous Data Flow Graphs (SDFs) based analysis, design and management for guaranteed throughput Enables Reinforcement Learning-based run-time thermal management, available as eLinux kernel for ARM-based embedded systems
Autor*in
Anup Kumar Das
Themen in »Reliable and Energy Efficient Streaming Multiprocessor Systems«
Embedded systems design Embedded software design Embedded Multiprocessors Real-Time Streaming Applications Energy-efficient multiprocessor systems