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Precharge logic is used by a variety of industries in applications where processor speed is the primary goal, such as VLSI (very large systems integration) applications. Also called dynamic logic, this type of design uses a clock to synchronize instructions in circuits. This comprehensive book covers the challenges faced by designers when using this logic style, including logic basics, timing, noise considerations, alternative topologies and more. In addition advanced topics such as skew tolerant design are covered in some detail. Overall this is a comprehensive view of precharge logic, which should be useful to graduate students and designers in the field alike. It might also be considered as a supplemental title for courses covering VLSI. - Comprehensive guide to precharge logic - Explains both the advantages and disadvantages to help engineers decide when to utilize precharge logic - Useful for engineers in a variety of industries
Precharge logic is used by a variety of industries in applications where processor speed is the primary goal, such as VLSI (very large systems integration) applications. Also called dynamic logic, this type of design uses a clock to synchronize instructions in circuits. This comprehensive book covers the challenges faced by designers when using this logic style, including logic basics, timing, noise considerations, alternative topologies and more. In addition advanced topics such as skew tolerant design are covered in some detail. Overall this is a comprehensive view of precharge logic, which should be useful to graduate students and designers in the field alike. It might also be considered as a supplemental title for courses covering VLSI. Comprehensive guide to precharge logic Explains both the advantages and disadvantages to help engineers decide when to utilize precharge logic Useful for engineers in a variety of industries
This comprehensive analysis of a newly developed asynchronous circuit family covers circuit theory, practical circuits, design tools and an example of the design of a simple asynchronous microprocessor using the circuit family.
In Security Trends for FPGA's the authors present an analysis of current threats against embedded systems and especially FPGAs. They discuss about requirements according to the FIPS standard in order to build a secure system. This point is of paramount importance as it guarantees the level of security of a system. Also highlighted are current vulnerabilities of FPGAs at all the levels of the security pyramid. It is essential from a design point of view to be aware of all the levels in order to provide a comprehensive solution. The strength of a system is defined by its weakest point; there is no reason to enhance other protection means, if the weakest point remains untreated. Many severe attacks have considered this weakness in order not to face brute force attack complexity. Several solutions are proposed in Security Trends for FPGA's especially at the logical, architecture and system levels in order to provide a global solution.
Asynchronous Circuit Design for VLSI Signal Processing is a collection of research papers on recent advances in the area of specification, design and analysis of asynchronous circuits and systems. This interest in designing digital computing systems without a global clock is prompted by the ever growing difficulty in adopting global synchronization as the only efficient means to system timing. Asynchronous circuits and systems have long held interest for circuit designers and researchers alike because of the inherent challenge involved in designing these circuits, as well as developing design techniques for them. The frontier research in this area can be traced back to Huffman's publications `The Synthesis of Sequential Switching Circuits' in 1954 followed by Unger's book, `Asynchronous Sequential Switching Circuits' in 1969 where a theoretical foundation for handling logic hazards was established. In the last few years a growing number of researchers have joined force in unveiling the mystery of designing correct asynchronous circuits, and better yet, have produced several alternatives in automatic synthesis and verification of such circuits. This collection of research papers represents a balanced view of current research efforts in the design, synthesis and verification of asynchronous systems.
The number of gates on a chip is quickly growing toward and beyond the one billion mark. Keeping all the gates running at the beat of a single or a few rationally related clocks is becoming impossible. In static timing analysis process variations and signal integrity issues stretch the timing margins to the point where they become too conservative and result in significant overdesign. Importance and difficulty of such problems push some developers to once again turn to asynchronous alternatives. However, the electronics industry for the most part is still reluctant to adopt asynchronous design (with a few notable exceptions) due to a common belief that we still lack a commercial-quality Electronic Design Automation tools (similar to the synchronous RTL-to-GDSII flow) for asynchronous circuits. The purpose of this paper is to counteract this view by presenting design flows that can tackle large designs without significant changes with respect to synchronous design flow. We are limiting ourselves to four design flows that we believe to be closest to this goal. We start from the Tangram flow, because it is the most commercially proven and it is one of the oldest from a methodological point of view. The other three flows (Null Convention Logic, de-synchronization, and gate-level pipelining) could be considered together as asynchronous re-implementations of synchronous (RTL- or gate-level) specifications. The main common idea is substituting the global clocks by local synchronizations. Their most important aspect is to open the possibility to implement large legacy synchronous designs in an almost "push button" manner, where all asynchronous machinery is hidden, so that synchronous RTL designers do not need to be re-educated. These three flows offer a trade-off from very low overhead, almost synchronous implementations, to very high performance, extremely robust dual-rail pipelines.
Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and operating system level are presented. A primary concern at these levels is balancing cost and performance against coverage and overall dependability. As these chapters demonstrate, low overhead, practical solutions are attainable and not necessarily incompatible with performance considerations. The section on innovative compiler support, in particular, demonstrates how the benefits of application specificity may be obtained while reducing hardware cost and run-time overhead. A companion to this volume (published by Kluwer) subtitled Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and analysis methods necessary to design, validate and analyze dependable systems. Another companion to this book (published by Kluwer), subtitled Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book subtitled System Implementation, these approaches demonstrate how dependability may be tuned to the requirements of an application, the fault environment, and the characteristics of the target platform. Three classes of paradigms are considered: protocol-based paradigms for distributed applications, algorithm-based paradigms for parallel applications, and approaches to exploiting application semantics in embedded real-time control systems.