Memristor MOS Content Addressable Memory (MCAM): Hybrid Architecture for Future High Performance Search Engines

Physics – Condensed Matter – Mesoscale and Nanoscale Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 11 figures

Scientific paper

Large-capacity Content Addressable Memory (CAM) is a key element in a wide variety of applications. The inevitable complexities of scaling MOS transistors introduce a major challenge in the realization of such systems. Convergence of disparate technologies, which are compatible with CMOS processing, may allow extension of Moore's Law for a few more years. This paper provides a new approach towards the design and modeling of Memristor (Memory resistor) based Content Addressable Memory (MCAM) using a combination of memristor MOS devices to form the core of a memory/compare logic cell that forms the building block of the CAM architecture. The non-volatile characteristic and the nanoscale geometry together with compatibility of the memristor with CMOS processing technology increases the packing density, provides for new approaches towards power management through disabling CAM blocks without loss of stored data, reduces power dissipation, and has scope for speed improvement as the technology matures.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Memristor MOS Content Addressable Memory (MCAM): Hybrid Architecture for Future High Performance Search Engines does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Memristor MOS Content Addressable Memory (MCAM): Hybrid Architecture for Future High Performance Search Engines, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Memristor MOS Content Addressable Memory (MCAM): Hybrid Architecture for Future High Performance Search Engines will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-385915

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.