An FPGA Implementation of a Multi-comparand Multi-search Associative Processor

نویسندگان

  • Zbigniew Kokosinski
  • Wojciech Sikora
چکیده

The multi-comparand associative search paradigm is shown to be efficient in processing complex search problems from many application areas including computational geometry, graph theory, and list/matrix computations. In this paper the first FPGA implementation of a small multi-comparand multi-search associative processor is reported. The architecture of the processor and its functions are described in detail. The processor works in a combined bit-serial/bit-parallel mode. Its main component is a multi-comparand associative memory with up to 16 programmable prescription functions (logic searches). Parameters of implemented FPGA devices are presented and discussed.

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تاریخ انتشار 2002