By Patrick R. Schaumont
This booklet presents a scientific advent to the subject of Hardware-Software Codesign. the fabric emphasizes the fundamental rules, and the sensible facets of Hardware-Software Codesign. The publication constructed from a path with regards to Hardware-Software Codesign, equipped by way of the writer at Virginia Tech. it truly is separated into 4 differenct sections; uncomplicated options, customized Architectures, Hardware/Software Interfaces, and functions. the writer covers many innovations together with a few of the varieties of expressing computations, sequential and parallel implementations, control-flow and data-flow, keep watch over dependency and knowledge dependency, latency and throughput in addition to the structure layout house of info paths, finite kingdom machines, micro-programmed machines, instruction-set processors, system-on-chip, and on-chip buses. the cloth additionally comprises the various kinds of hardware/software interfaces, their impression on functionality, price, and software program complexity. The ebook includes details on hardware/software integration of parts on best of hardware/software interfaces in addition to layout technique and layout flows for hardware-software codesign together with functionality assessment, verification and synthesis of and software program implementations. difficulties are integrated on the finish of every bankruptcy and a suggestions guide can be to be had for teachers.
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Additional info for A Practical Introduction to Hardware/Software Codesign
They mean very different things. Concurrency is the ability to execute simultaneous operations because these operations are completely independent. Parallelism is the ability to execute simultaneous operations because the operations can run on different processors or circuit elements. Thus, concurrency relates to an application model, while parallelism relates to the implementation of that model. Hardware is always parallel. Software on the other hand can be sequential, concurrent, or parallel.
2, there is no central controller that tells the actors when to operate; each actor can determine for itself when it is time to work. Data Flow models are modular. We can develop a design library of data flow components and then use that library in a plug-and-play fashion to construct data flow systems. Data Flow systems are easy to analyze, and properties such as deadlock and stability can be evaluated based on inspection of the model. This is an important advantage, which is not at all obvious for C programs or hardware circuit descriptions.
This means that the results computed in an SDF graph will always be the same, regardless of the actual firing order of the actors. 8 illustrates this property.