“…We have designed a second high-performance VLSI search processor specifically to deal with utistructured data [ 15] and have analyzed the architectural support issues associated with on-the-fly text search in large documents [18]. We have also investigated a hybrid approach that uses both the data filter and text filter together to resolve data requests on a combination of both structutecl ancl unstructured data.…”
“…We have designed a second high-performance VLSI search processor specifically to deal with utistructured data [ 15] and have analyzed the architectural support issues associated with on-the-fly text search in large documents [18]. We have also investigated a hybrid approach that uses both the data filter and text filter together to resolve data requests on a combination of both structutecl ancl unstructured data.…”
“…A fanout of 1000 can therefore be achieved in two cascaded buffer stages with a total delay of only 1.4 (ns). The estimated time required for a broadcast, comparison, and detection cycle is about 33 (ns) [8]. Therefore, the effective search rate for a 100-comparator VLSI text search chip can reach 3 (GB/s) (100/33 (ns)).…”
Database systems require, among other things, efficient query processing, storage access, and data communication. Currently, query processing Performance supported by advanced VLSI technology has outpaced the access speed of conventional disk storage and the bandwidth of data communication links. We advocate the use of holographic storage and wavelength division multiplexing technologies as fundamental solutions to the storage and communication issues in database systems. The purpose of the paper is to accelerate the research and development momentum of system and device research by discussing both performance advantages and issues requiring further research.Index Terms-wavelength division multiplexing, holographic storage, surface-emitting laser array, database systems, VLSI filters, text search.
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