This book provides thorough coverage of error correcting techniques. It includes essential basic concepts and the latest advances on key topics in design, implementation, and optimization of hardware/software systems for error correction. The book's chapters are written by internationally recognized experts in this field. Topics include evolution of error correction techniques, industrial user needs, architectures, and design approaches for the most advanced error correcting codes (Polar Codes, Non-Binary LDPC, Product Codes, etc). This book provides access to recent results, and is suitable for graduate students and researchers of mathematics, computer science, and engineering. * Examines how to optimize the architecture of hardware design for error correcting codes; * Presents error correction codes from theory to optimized architecture for the current and the next generation standards; * Provides coverage of industrial user needs advanced error correcting techniques. Advanced Hardware Design for Error Correcting Codes includes a foreword by Claude Berrou.

This book provides thorough coverage of error correcting techniques. It includes essential basic concepts and the latest advances on key topics in design, implementation, and optimization of hardware/software systems for error correction. The book's chapters are written by internationally recognized experts in this field. Topics include evolution of error correction techniques, industrial user needs, architectures, and design approaches for the most advanced error correcting codes (Polar Codes, Non-Binary LDPC, Product Codes, etc). This book provides access to recent results, and is suitable for graduate students and researchers of mathematics, computer science, and engineering. * Examines how to optimize the architecture of hardware design for error correcting codes; * Presents error correction codes from theory to optimized architecture for the current and the next generation standards; * Provides coverage of industrial user needs advanced error correcting techniques. Advanced Hardware Design for Error Correcting Codes includes a foreword by Claude Berrou.

High-level synthesis - also called behavioral and architectural-level synthesis - is a key design technology to realize systems on chip/package of various kinds, whether single or multi-processors, homogeneousor heterogeneous, for the emb- ded systems market or not. Actually, as technology progresses and systems become increasingly complex, the use of high-level abstractions and synthesis methods becomes more and more a necessity. Indeed, the productivityof designers increases with the abstraction level, as demonstrated by practices in both the software and hardware domains. The use of high-level models allows designers with systems, rather than circuit, backgroundto be productive, thus matching the trend of industry whichisdeliveringanincreasinglylargernumberofintegratedsystemsascompared to integrated circuits. The potentials of high-level synthesis relate to leaving implementation details to the design algorithms and tools, including the ability to determine the precise timing of operations, data transfers, and storage. High-level optimization, coupled with high-levelsynthesis, canprovidedesignerswith the optimalconcurrencystr- ture for a data ow and corresponding technological constraints, thus providing the balancing act in the trade-offbetween latency and resource usage. For complex s- tems, the design space exploration, i.e., the systematic search for the Pareto-optimal points, can only be done by automated high-level synthesis and optimization tools. Nevertheless, high-level synthesis has been showing a long gestation period. Despite early resultsin the 1980s, it is still not commonpracticein hardwaredes

High-level synthesis - also called behavioral and architectural-level synthesis - is a key design technology to realize systems on chip/package of various kinds, whether single or multi-processors, homogeneousor heterogeneous, for the emb- ded systems market or not. Actually, as technology progresses and systems become increasingly complex, the use of high-level abstractions and synthesis methods becomes more and more a necessity. Indeed, the productivityof designers increases with the abstraction level, as demonstrated by practices in both the software and hardware domains. The use of high-level models allows designers with systems, rather than circuit, backgroundto be productive, thus matching the trend of industry whichisdeliveringanincreasinglylargernumberofintegratedsystemsascompared to integrated circuits. The potentials of high-level synthesis relate to leaving implementation details to the design algorithms and tools, including the ability to determine the precise timing of operations, data transfers, and storage. High-level optimization, coupled with high-levelsynthesis, canprovidedesignerswith the optimalconcurrencystr- ture for a data ow and corresponding technological constraints, thus providing the balancing act in the trade-offbetween latency and resource usage. For complex s- tems, the design space exploration, i.e., the systematic search for the Pareto-optimal points, can only be done by automated high-level synthesis and optimization tools. Nevertheless, high-level synthesis has been showing a long gestation period. Despite early resultsin the 1980s, it is still not commonpracticein hardwaredes