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String (computer science)

About: String (computer science) is a research topic. Over the lifetime, 19430 publications have been published within this topic receiving 333247 citations. The topic is also known as: str & s.


Papers
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Patent
27 Mar 2007
TL;DR: In this article, a monolithic, three dimensional NAND string includes a first memory cell located over a second memory cell, such that a defined boundary exists between the semiconductor active region of the first memory cells and the second memory cells.
Abstract: A monolithic, three dimensional NAND string includes a first memory cell located over a second memory cell. A semiconductor active region of the first memory cell is formed epitaxially on a semiconductor active region of the second memory cell, such that a defined boundary exists between the semiconductor active region of the first memory cell and the semiconductor active region of the second memory cell.

215 citations

Journal ArticleDOI
TL;DR: This work presents hardware-implementable pattern matching algorithm for content filtering applications, which is scalable in terms of speed, the number of patterns and the pattern length, and is based on a memory efficient multihashing data structure called Bloom filter.
Abstract: High-speed packet content inspection and filtering devices rely on a fast multipattern matching algorithm which is used to detect predefined keywords or signatures in the packets. Multipattern matching is known to require intensive memory accesses and is often a performance bottleneck. Hence, specialized hardware-accelerated algorithms are required for line-speed packet processing. We present hardware-implementable pattern matching algorithm for content filtering applications, which is scalable in terms of speed, the number of patterns and the pattern length. Our algorithm is based on a memory efficient multihashing data structure called Bloom filter. We use embedded on-chip memory blocks in field programmable gate array/very large scale integration chips to construct Bloom filters which can suppress a large fraction of memory accesses and speed up string matching. Based on this concept, we first present a simple algorithm which can scan for several thousand short (up to 16 bytes) patterns at multigigabit per second speeds with a moderately small amount of embedded memory and a few mega bytes of external memory. Furthermore, we modify this algorithm to be able to handle arbitrarily large strings at the cost of a little more on-chip memory. We demonstrate the merit of our algorithm through theoretical analysis and simulations performed on Snort's string set

215 citations

Proceedings ArticleDOI
30 Oct 2003
TL;DR: An efficient protocol for sequence comparisons of the edit-distance kind, such that neither party reveals anything about their private sequence to the other party (other than what can be inferred from the edit distance between their two sequences - which is unavoidable because computing that distance is the purpose of the protocol).
Abstract: We give an efficient protocol for sequence comparisons of the edit-distance kind, such that neither party reveals anything about their private sequence to the other party (other than what can be inferred from the edit distance between their two sequences - which is unavoidable because computing that distance is the purpose of the protocol). The amount of communication done by our protocol is proportional to the time complexity of the best-known algorithm for performing the sequence comparison.The problem of determining the similarity between two sequences arises in a large number of applications, in particular in bioinformatics. In these application areas, the edit distance is one of the most widely used notions of sequence similarity: It is the least-cost set of insertions, deletions, and substitutions required to transform one string into the other. The generalizations of edit distance that are solved by the same kind of dynamic programming recurrence relation as the one for edit distance, cover an even wider domain of applications.

214 citations

Book ChapterDOI
10 May 2020
TL;DR: A methodology to construct preprocessing zkSNARKs where the structured reference string (SRS) is universal and updatable and fast verification is achieved provided the statement being checked is given in encoded form.
Abstract: We present a methodology to construct preprocessing zkSNARKs where the structured reference string (SRS) is universal and updatable. This exploits a novel use of holography [Babai et al., STOC 1991], where fast verification is achieved provided the statement being checked is given in encoded form.

214 citations

Patent
04 Nov 1997
TL;DR: In this paper, an optical reader is made to commence image capture and decoding when a trigger of the reader is pulled, and to continuously attempt to decode symbols in captured image data until the time the trigger is released.
Abstract: In the present invention, an optical reader is made to commence image capture and decoding when a trigger of the reader is pulled, and to continuously attempt to decode symbols in captured image data until the time the trigger is released. Despite continuously attempting to decode symbols during the entire period in which a trigger is actuated, a reader according to the invention is made so as not to output data messages pertaining to the same symbol more than once during one trigger-actuation period. To this end, a reader operating according to the invention maintains a list of identification strings identifying all symbols which have been successfully decoded since the time the trigger was pulled. When symbols in image data are decoded, identification strings for those symbols are determined and then compared to identification strings previously written to the list. If an identification string for a successfully decoded symbol is not on the list, the reader outputs a data message for the symbol, and adds the identification string to the identification string list.

214 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20222
2021491
2020704
2019759
2018816
2017806