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Embedded System Design
A unique feature of this open access textbook is to provide a comprehensive introduction to the fundamental knowledge in embedded systems, with applications in cyber-physical …
Hardware/Software Co-Design for Data Flow Dominated Embedded Systems
Many of the modern applications of microelectronics require hugeamounts of computations. Despite all recent improvements in fabrication technologies, some of these computations …
Embedded Systems Development
This book offers readers broad coverage of techniques to model, verify and validate the behavior and performance of complex distributed embedded systems. The authors attempt to …
Code Generation for Embedded Processors
Modern electronics is driven by the explosive growth of digital communications and multi-media technology. A basic challenge is to design first-time-right complex digital …
Advanced Memory Optimization Techniques for Low-Power Embedded Processors
In a relatively short span of time, computers have evolved from huge mainframes to small and elegant desktop computers, and now to low-power, ultra-portable handheld devices. …
Retargetable Compiler Technology for Embedded Systems
It is well known that embedded systems have to be implemented efficiently. This requires that processors optimized for certain application domains are used in embedded systems. …
Fast, Efficient and Predictable Memory Accesses
Fast, Efficient and Predictable Memory Accesses presents techniques for designing fast, energy-efficient and timing predictable memory systems. By using a careful combination of …
Embedded Systems Development
This book offers readers broad coverage of techniques to model, verify and validate the behavior and performance of complex distributed embedded systems. The authors attempt to …
Fast, Efficient and Predictable Memory Accesses
Fast, Efficient and Predictable Memory Accesses presents techniques for designing fast, energy-efficient and timing predictable memory systems. By using a careful combination of …
Advanced Memory Optimization Techniques for Low-Power Embedded Processors
In a relatively short span of time, computers have evolved from huge mainframes to small and elegant desktop computers, and now to low-power, ultra-portable handheld devices. …
Machine Learning under Resource Constraints - Fundamentals
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of …
Source Code Optimization Techniques for Data Flow Dominated Embedded Software
This book focuses on source-to-source code transformations that remove addressing-related overhead present in most multimedia or signal processing application programs. This …