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Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays By Maya Gokhale, Paul S. Graham, Publisher: Springer

Number Of Pages: 238

Publication Date: 2005-12-14

Sales Rank: 510161

ISBN / ASIN: 0387261052

EAN: 9780387261058

Binding: Hardcover

Manufacturer: Springer

Studio: Springer

Average Rating: 5

This volume is unique: the first comprehensive exposition of the exciting new field of Reconfigurable Computing with FPGAs. By mapping algorithms directly into programmable logic, FPGA accelerators offer and deliver 10X-100X performance increases over microprocessors for a large range of application domains. Reconfigurable computing is found in virtually every computing milieu, from satellites to supercomputers. By loading new hardware circuits onto the FPGA, or even modifying parts of the circuit during operation, reconfigurable computers achieve performance rivaling application-specific integrated circuits (ASICs), yet are built from commodity parts. The authors are among the originators of Reconfigurable Computing and are recognized leaders in the field. Drawing on their deep familiarity with RC, they survey every aspect of the field, from FPGA device architecture, reconfigurable systems architectures, programming languages and compilation tools to the application domains of signal processing, image processing, network security, bioinformatics, and supercomputing. Although citations to original sources are abundant, nevertheless, the book is accessible to the science and technology practitioner and student. Reconfigurable Computing is of especially topical to computer science and engineering researchers as well as professionals in high performance computing and embedded computing.

Review: First book in a new field FPGA-based reconfigurable computing may be the first fundamental innovation in computing since von Neumann's stored programs. Gokhale, one of the founders of the field, has written the first book I know of that summarizes current state of the art. The book is brief and dense. It starts with introductory material about what FPGAs are and why they're good for some problems. The later chapters might not have full impact if you aren't already familair with FPGAs, though. Next, there's a short discussion of compilers. To tell the truth, state of the art left now is pretty grim, about where software tools were in the 1960s. Things like VHDL have tamed logic design, but computation is a very different beast. We need something different, something that isn't there yet - no matter what the inflated claims of the tool-builders. The remainder of the book discusses application areas. The first two chapters in this section cover the classic FPGA computing applications - signal processing and image processing, both emerging from their niches in the defense market. The last three chapters cover network security, often an FPGA-based super-Snort, bioinformatics, and applications in heat transfer and road traffic analysis. Even though FPGA computing has largely been a research field rather than a production technology, it's still too big to cover in one book. Gokhale missed some interesting bioinformatics applications, such as microarray and regulatory network analysis, and other applications including electromagnetics, molecular dynamics, and astrophysical models. Still, shes has picked good representatives of the FPGA computing field. Now that Silicon Graphics's RASC and Cray's XD1 add-on are on the market, we'll see a lot about FGPA-based computing. In a few years, when there are more tools and tool users in the field, this may look dated. For now, if you want to know about FPGA-based computing, you'll read the proceedings of the research conferences or you'll read this. Buy Book at Lowest Price on Amazon

Rating:
2.5 out of 5 by Book123