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- W45532497 abstract "Publisher Summary This chapter provides some preliminaries on dictionary machines and existing VLSI solutions, presents a new machine along with the ideas of the algorithms to execute the dictionary operations, studies its properties and performances and also provides some concluding remarks and directions for further research. Dictionary is an important data structure used in applications such as sorting and searching, symbol-table, and index-table implementations. It can be seen as a special purpose system capable of storing records and performing update and retrieval operations on these records. All applications with data acquisition can take advantage of such a dictionary machine, with an online treatment and efficient input/output. It means that the machine has to be very simple, scalable, and adapted to be integrated in systems in robotics or image recognition. However, very-large-scale integration (VLSI) dictionary machines have not been used in real time systems because they do not scale well. Indeed, dictionary machines have been designed to fit in one chip only. If the number of acquired elements is larger than that of VLSI cells, another chip has to be designed and manufactured to take a larger dictionary into account. This chapter proposes a new design for dictionary machines that assembles blocks of standard existing dictionary machines. The performances of our machine are as good as the best performances studied in the literature, with the enormous advantage of scaling quite easily, and no degradation of its performances, by simply adding more and more standard blocks." @default.
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- W45532497 date "1995-01-01" @default.
- W45532497 modified "2023-09-25" @default.
- W45532497 title "A Scalable Design for Dictionary Machines" @default.
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- W45532497 doi "https://doi.org/10.1016/b978-044482106-5/50013-2" @default.
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