Analogic computing: System aspects of analogic CNN sensor computers

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

A new principle of computing and computers is emerging: the analogic cellular computer. Its architecture, the CNN Universal Machine, is now implemented in several different physical forms and the first practical experiments exhibit breathtaking frame rate and computing power. Several `Kilo real-time video' frame rate (more than 10,000 frames per second) and TeraOPS computing power on a 1 cm2 CMOS (0.5 micron) chip were measured. In this review article, the systems aspects and the new directions in this field are considered. A new world of software and a new notion of computing are taking ground. The possibility of software in optical computing becomes feasible. Likewise, programming on atomic and molecular scale implementations may be possible. Hence, photons and molecules may be used for signal representation in these analogic computers.

Original languageEnglish
Pages73-78
Number of pages6
Publication statusPublished - Jan 1 2000
EventProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) - Catania, Italy
Duration: May 23 2000May 25 2000

Other

OtherProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)
CityCatania, Italy
Period5/23/005/25/00

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Analogic computing: System aspects of analogic CNN sensor computers'. Together they form a unique fingerprint.

  • Cite this

    Roska, T. (2000). Analogic computing: System aspects of analogic CNN sensor computers. 73-78. Paper presented at Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000), Catania, Italy, .