Visual Data Rectangular Memory

نویسندگان

  • Georgi Kuzmanov
  • Georgi Gaydadjiev
  • Stamatis Vassiliadis
چکیده

We focus on the parallel access of randomly aligned rectangular blocks of visual data. As an alternative of traditional linearly addressable memories, we suggest a memory organization based on an array of memory modules. A highly scalable data alignment scheme incorporating module assignment functions and a new generic addressing function are proposed. To enable short critical paths and to save hardware resources, the addressing function implicitly embeds the module assignment functions and it is separable. A corresponding design is evaluated and compared to existing schemes and is found to be cost-effective.

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تاریخ انتشار 2004