A Parallel VLSI Architecture For Unformatted Data Processing

Abstract

A novel, high performance subsystem for information retrieval called JAS is introduced. The JAS subsystem sustains gigabyte per second comparison rates due to its “early-out” CMOS substring search processor. The complexity of each JAS unit is independent of the complexity of the query. This query complexity independence is achieved via the utilization of a decoupled instruction set. The JAS subsystem architecture is described and the performance is evaluated.