Abstract: A network intrusion system for a protected network includes a ruleset module configured to receive metadata for rules. The metadata describes, for each of the rules, a set of associated network vulnerabilities. The ruleset module is configured to access vulnerability information describing a set of cumulative vulnerabilities that each is present in at least one network device within the protected network. The network intrusion system includes a rule management module configured to, for each rule of the plurality of rules: identify the set of associated network vulnerabilities described by the metadata for the rule, determine whether there is a match between any of the set of associated network vulnerabilities and the set of cumulative vulnerabilities, and, in response to determining that there is no match, transmit a first command signal to a network security module. The first command signal instructs the network security module to disable the rule.

Abstract: Data is organized in a hierarchical data tree having nodes, and is formatted in human-readable data according to a schema. The data is canonically ordered in correspondence with a canonical ordering of a schema dictionary generated from the schema. The canonically ordered data is encoded into binary, including for each node, removing a label of the node, and adding a sequence number of the node corresponding to the canonical ordering, in binary.

Abstract: A network intrusion system for a protected network includes a ruleset module configured to receive metadata for rules. The metadata describes, for each of the rules, a set of associated network vulnerabilities. The ruleset module is configured to access vulnerability information describing a set of cumulative vulnerabilities that each is present in at least one network device within the protected network. The network intrusion system includes a rule management module configured to, for each rule of the plurality of rules: identify the set of associated network vulnerabilities described by the metadata for the rule, determine whether there is a match between any of the set of associated network vulnerabilities and the set of cumulative vulnerabilities, and, in response to determining that there is no match, transmit a first command signal to a network security module. The first command signal instructs the network security module to disable the rule.

Abstract: A network intrusion system for a protected network includes a ruleset module configured to receive metadata for rules. The metadata describes, for each of the rules, a set of associated network vulnerabilities. The ruleset module is configured to access vulnerability information describing a set of cumulative vulnerabilities that each is present in at least one network device within the protected network. The network intrusion system includes a rule management module configured to, for each rule of the plurality of rules: identify the set of associated network vulnerabilities described by the metadata for the rule, determine whether there is a match between any of the set of associated network vulnerabilities and the set of cumulative vulnerabilities, and, in response to determining that there is no match, transmit a first command signal to a network security module. The first command signal instructs the network security module to disable the rule.

Abstract: Data is organized in a hierarchical data tree having nodes, and is formatted in human-readable data according to a schema. The data is canonically ordered in correspondence with a canonical ordering of a schema dictionary generated from the schema. The canonically ordered data is encoded into binary, including for each node, removing a label of the node, and adding a sequence number of the node corresponding to the canonical ordering, in binary.

Abstract: Data is organized in a hierarchical data tree having nodes, and is formatted in human-readable data according to a schema. The data is canonically ordered in correspondence with a canonical ordering of a schema dictionary generated from the schema. The canonically ordered data is encoded into binary, including for each node, removing a label of the node, and adding a sequence number of the node corresponding to the canonical ordering, in binary.

Abstract: A high performance computing system including processing circuitry and a shared fabric memory is disclosed. The processing circuitry includes processors coupled to local storages. The shared fabric memory includes memory devices and is coupled to the processing circuitry. The shared fabric memory executes a first sweep of a stencil code by sequentially retrieving data stripes. Further, for each retrieved data stripe, a set of values of the retrieved data stripe are updated substantially simultaneously. For each retrieved data stripe, the updated set of values are stored in a free memory gap adjacent to the retrieved data stripe. For each retrieved data stripe, the free memory gap is advanced to an adjacent memory location. A sweep status indicator is incremented from the first sweep to a second sweep.

Abstract: A high performance computing system including processing circuitry and a shared fabric memory is disclosed. The processing circuitry includes processors coupled to local storages. The shared fabric memory includes memory devices and is coupled to the processing circuitry. The shared fabric memory executes a first sweep of a stencil code by sequentially retrieving data stripes. Further, for each retrieved data stripe, a set of values of the retrieved data stripe are updated substantially simultaneously. For each retrieved data stripe, the updated set of values are stored in a free memory gap adjacent to the retrieved data stripe. For each retrieved data stripe, the free memory gap is advanced to an adjacent memory location. A sweep status indicator is incremented from the first sweep to a second sweep.

Abstract: Data is organized in a hierarchical data tree having nodes, and is formatted in human-readable data according to a schema. The data is canonically ordered in correspondence with a canonical ordering of a schema dictionary generated from the schema. The canonically ordered data is encoded into binary, including for each node, removing a label of the node, and adding a sequence number of the node corresponding to the canonical ordering, in binary.

Abstract: The invention relates to a system and methods for sensing and analyzing inventory levels and consumer buying habits. The system includes a sensor pad that can be easily installed on a display shelf by simply resting the panel on the shelf. Sensors are mounted inside the sensor pad that are hardwired to circuitry collectively called a smart hub. The hub is a programmable device with an integrated paging transceiver for communicating with a remotely located server that is managed by the inventory sensing service provider. The hub periodically transmits a report, which is highly configurable, to the service provider's server, preferably as a text message over the paging network, which arrives at a service provider's server after being converted to an e-mail. This server converts the information in the reports into inventory data and stores this data in a database that customers of the inventory service can access remotely.