Electro-optical DSP of tera operations per second and beyond (Extended abstract)

Dan E. Tamir, Natan T. Shaked, Peter J. Wilson, Shlomi Dolev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We present a vector-by-matrix multiplier architecture incorporating the high potential of optical computing within electronics. This architecture stems from advances in optical switching technology, optical communication, and laser on silicon, and overcomes previous bottlenecks implied by the speed of transferring information to the optical vector-by-matrix multiplier. Based on this architecture, we present in detail a feasible electro-optical DSP co-processor that can obtain more than 16-Tera integer operations per second. The use of the new architecture for several principal DSP applications is detailed, showing a significant improvement of at least two orders of magnitudes, over existing DSP technologies. Examples of possible applications, including motion estimation engine, string matching, and geometry engine systems, are provided. In addition, the architecture enables an improvement of previous solutions to bounded NP-complete problems by extensively reducing the size of the solver, while preserving an efficient computation time.

Original languageEnglish
Title of host publicationOptical Supercomputing - First International Workshop, OSC 2008, Proceedings
Number of pages14
StatePublished - 2008
Externally publishedYes
Event1st International Workshop on Optical Supercomputing, OSC 2008 - Vienna, Austria
Duration: 26 Aug 200826 Aug 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5172 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Workshop on Optical Supercomputing, OSC 2008


  • Bounded NP-Complete algorithms
  • Digital signal processing
  • Optical computing
  • Parallel processing
  • Traveling sales Person problem


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