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391 results about "Content-addressable memory" patented technology

Content-addressable memory (CAM) is a special type of computer memory used in certain very-high-speed searching applications. It is also known as associative memory or associative storage and compares input search data (tag) against a table of stored data, and returns the address of matching data (or in the case of associative memory, the matching data).

Packet classification

Methods and apparatus are provided for classifying data packets in data processing systems. A first packet classification method determines which of a plurality of predefined processing rules applies to a data packet, where each rule is associated with a range of possible data values in each of a plurality of dimensions (X,Y) corresponding to respective data items in the packet format. For each dimension (X,Y), it is determined which of a set of predefined basic ranges contains the corresponding data value (I1, I2) from the packet, where the basic ranges correspond to respective non-overlapping value ranges between successive rule range boundaries in the dimension. For the basic range so determined for each dimension, a corresponding basic range identifier is selected from a set of predefined basic range identifiers corresponding to respective basic ranges in that dimension. For each of at least two dimensions (X,Y), the basic range identifiers comprise respective pD-bit strings generated independently for that dimension by a process of deriving a primitive range hierarchy based on the rule ranges in that dimension. The resulting basic range identifiers, one for each dimension, are then combined to produce a search key which is supplied to a ternary content-addressable memory (5). In the memory (5), the search key is compared with a set of ternary rule vectors, each associated with a particular rule and derived for that rule from the aforementioned hierarchies, to identify at least one rule which applies to the data packet. A second method classifies data packets according to the values in respective data packets of a single, predetermined data item (DA) in the data packet format, where a plurality of classification results are predefined for respective ranges of values of the data item (DA). Here the data item (DA) in the packet is first segmented. The resulting segments are then equated to different dimensions (X,Y) of a multidimensional packet classification problem and are processed in a similar manner to identify a classification result for the packet.
Owner:IBM CORP

Linear associative memory-based hardware architecture for fault tolerant ASIC/FPGA work-around

A programmable logic unit (e.g., an ASIC or FPGA) having a feedforward linear associative memory (LAM) neural network checking circuit which classifies input vectors to a faulty hardware block as either good or not good and, when a new input vector is classified as not good, blocks a corresponding output vector of the faulty hardware block, enables a software work-around for the new input vector, and accepts the software work-around input as the output vector of the programmable logic circuit. The feedforward LAM neural network checking circuit has a weight matrix whose elements are based on a set of known bad input vectors for said faulty hardware block. The feedforward LAM neural network checking circuit may update the weight matrix online using one or more additional bad input vectors. A discrete Hopfield algorithm is used to calculate the weight matrix W. The feedforward LAM neural network checking circuit calculates an output vector a(m) by multiplying the weight matrix W by the new input vector b(m), that is, a(m)=wb(m), adjusts elements of the output vector a(m) by respective thresholds, and processes the elements using a plurality of non-linear units to provide an output of 1 when a given adjusted element is positive, and provide an output of 0 when a given adjusted element is not positive. If a vector constructed of the outputs of these non-linear units matches with an entry in a content-addressable memory (CAM) storing the set of known bad vectors (a CAM hit), then the new input vector is classified as not good.
Owner:CISCO TECH INC

Multidimensional comprehensive situation display system based on degree of association

The invention provides a multidimensional comprehensive situation display system based on degree of association, which comprises a network management data acquisition module, a network management information comprehensive analysis engine, an analysis result preprocessing module and an interface display module, wherein the network management data acquisition module is used for acquiring data on the network, storing the acquired network dynamic operating data and static data to a database, and reporting dynamic operating data to the network management information comprehensive analysis engine in real time; after receiving the dynamic operating data or a data acquisition command and parameter configuration control command transmitted by a user through an interface, the network management information comprehensive analysis engine is used for carrying out analysis according to the static data stored in the database and transmitting the analysis result to the analysis result preprocessing module; and the analysis result preprocessing module is used for carrying out display data model reestablishment and data organization on the analysis result so as to be uniformly displayed by the interface display module. The invention can be used for displaying the topological situation by carrying out comprehensive monitoring on the communication network by multiple visual display means.
Owner:NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
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