The CONNECT Network-on-Chip Generator.

Efficiently supporting the communication needs of systems on chip with tens to hundreds of interacting modules requires a systematic and flexible network-on-chip (NoC) infrastructure. The freely available CONNECT generator lets users quickly navigate a range of design parameters to produce tailored...

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Publicado en:Computer (00189162) Vol. 48; no. 12; pp. 72 - 80
Autores principales: Papamichael, Michael K., Hoe, James C.
Formato: Artículo
Publicado: IEEE Dec2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The CONNECT Network-on-Chip Generator.
      aug:
        au:
          Papamichael, Michael K.
          Hoe, James C.
        affil:
          Microsoft Research
          Carnegie Mellon University
      su:
        Networks on a chip
        Verilog (Computer hardware description language)
        Computer hardware description languages
        Computer simulation of integrated circuits
        Computer systems
      sug:
        subj:
          Networks on a chip
          Verilog (Computer hardware description language)
          Computer hardware description languages
          Computer simulation of integrated circuits
          Computer systems
      keyword:
        chip design
        design synthesis
        Field programmable gate arrays
        Hardware
        Hardware design languages
        intellectual property
        interconnect design
        IP blocks
        network on chip
        Network topology
        Network-on-chip
        NoC
        Ports (Computers)
        scalable computing
        SoC
        system on chip
        Topology
        Verilog
      ab: Efficiently supporting the communication needs of systems on chip with tens to hundreds of interacting modules requires a systematic and flexible network-on-chip (NoC) infrastructure. The freely available CONNECT generator lets users quickly navigate a range of design parameters to produce tailored NoC design instances in Verilog. To date, it has generated nearly 4,000 designs.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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