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| Francky Catthoor, Koen Danckart, Chidamber Kulkarni | ||||
| Kluwer Academic | ||||
| 2002 | ||||
| English | ||||
| pages | ||||
| 4.7 MB | ||||
[tab] [content title="Summary"] **Description:** *Data Access and Storage Management for Embedded Programmable Processors* offers an in-depth exploration of system-level strategies for managing data access and storage in embedded programmable processors, with a focus on complex, real-time, multi-media, and communication applications. These applications often face significant challenges due to their data-intensive nature, where factors such as power consumption and footprint are heavily influenced by how efficiently data is accessed and stored. This book, drawing from extensive research conducted at IMEC between 1996 and 2001, presents a comprehensive overview of the methodologies and techniques developed to address these challenges. The primary aim is to offer solutions for optimizing data handling in embedded systems, where both time and resource constraints are critical. Key highlights of the book include: - **Targeted Application Domain**: The book focuses on data-driven embedded systems that require high-performance processing for real-time multimedia and communication tasks, such as digital signal processing and wireless communication systems. - **Data-Driven Design Challenges**: It explains how the performance of embedded systems is often constrained by data access and storage efficiency, which directly affects system cost, power consumption, and overall footprint. - **Systematic Methodology**: The authors propose a step-by-step, systematic methodology to tackle the unique challenges of these applications. This includes a source-to-source precompilation approach that aids in the exploration and optimization of embedded applications. - **Modern Embedded Processors**: The book adopts an architecture style compatible with modern embedded processors, which are widely used in consumer electronics, automotive systems, communication devices, and IoT devices. - **Optimizing Data Access**: Special attention is given to how system-level data management techniques—such as memory hierarchy optimization, data locality improvement, and efficient data transfer mechanisms—can be leveraged to meet stringent performance and power requirements. This book is essential for engineers and researchers working in the fields of embedded systems, real-time processing, and multimedia applications. It provides a solid foundation for optimizing data access in embedded systems and is particularly valuable for those working with programmable processors in power-constrained environments. [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]
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