High-Performance Embedded Computing: Architectures, Applications, and Methodologies

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Product Description

Over the past several years, embedded systems have emerged as an integral though unseen part of many consumer, industrial, and military devices. The explosive growth of these systems has resulted in embedded computing becoming an increasingly important discipline. The need for designers of high-performance, application-specific computing systems has never been greater, and many universities and colleges in the US and worldwide are now developing advanced courses to help prepare their students for careers in embedded computing.

High-Performance Embedded Computing: Architectures, Applications, and Methodologies is the first book designed to address the needs of advanced students and industry professionals. Focusing on the unique complexities of embedded system design, the book provides a detailed look at advanced topics in the field, including multiprocessors, VLIW and superscalar architectures, and power consumption. Fundamental challenges in embedded computing are described, together with design methodologies and models of computation. HPEC provides an in-depth and advanced treatment of all the components of embedded systems, with discussions of the current developments in the field and numerous examples of real-world applications.

Covers advanced topics in embedded computing, including multiprocessors, VLIW and superscalar architectures, and power consumption

Provides in-depth coverage of networks, reconfigurable systems, hardware-software co-design, security, and program analysis

Includes examples of many real-world embedded computing applications (cell phones, printers, digital video) and architectures (the Freescale Starcore, TI OMAP multiprocessor, the TI C5000 and C6000 series, and others)

High-Performance Embedded Computing: Architectures, Applications, and Methodologies Review

Now and then a book comes along to open your eyes. I've been developing embedded computing solutions for 20 years and thought I knew a thing or two about this important computing discipline. Wayne Wolf's book put structure and analysis around what I knew (and thought was just improvised) and taught me a lot more about industrial-strength solutions. Wish to use the correct model of computation for your real-time application? Start with this book and follow the leads. Want to minimize memory? Practical algorithms are here. Need to balance throughput and latency? Go no further. Have to develop software and hardware concurrently? Get the right picture in the last chapter. Above all, the book gives excellent coverage of critical issues for migrating uniprocessor code to multiprocessors.

I only wish that the solution manual could be available to those of us who are not instructors but work in the industry, and I feel the Index ought to be expanded. Otherwise a perfect book for embedded computing professionals and students.

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