Dynamic Photorefractive Optical Memories.

Abstract

The extremely large storage density of volume holographic memories is applicable to numeric and neural network optical computing. Such photorefractive memories, can be used to provide optical storage of binary bit-plane or gray scale images as well as weighted interconnects for optical digital and neural network computing. However, success in applying optical memories to computing will strongly depend not only on the memory's large capacity and short random access time, but also on the memory's dynamic characteristics. Our objective is to construct a dynamic photorefractive memory that provides (1) nondestructive readout, i.e., after a large number of readings, the memory can be refreshed by rewriting the still useful information from one crystal into another, and (2) write/erase capability, that is, while rewriting the useful part of the information from one crystal to the other, we can also replace some of the old information that must be erased by the new information introduced from the input to the memory.

Document Details

Document Type
Technical Report
Publication Date
May 22, 1992
Accession Number
ADP006737

Entities

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Access Time
  • Advanced Materials
  • Engineered Materials
  • Gray Scale
  • Massachusetts
  • Materials
  • Network Computing
  • Neural Networks
  • Optical Storage
  • Photorefractive Materials
  • Plasmonic Materials

Fields of Study

  • Physics

Readers

  • Computer Programming and Software Development.
  • Integrated Circuit Design and Technology.
  • Optical Physics and Photonics.

Technology Areas

  • AI & ML