Abstract: A framework for automatically creating ternary content-addressable memory (TCAM) profiles for a network device is provided. In certain embodiments, the framework can automatically create a TCAM profile for the network device that defines a minimal qualifier set for every TCAM-enabled feature configured on the device, where the minimal qualifier set includes only the qualifiers actually used by the configured rules of that feature (rather than all of the feature's possible qualifiers). With this approach, the framework can advantageously automate the process of tuning the device's TCAM for optimal utilization.

Abstract: A network device may include packet processor memory circuitry and processing circuitry coupled to the packet processor memory circuitry. The processing circuitry may receive a set of network traffic processing features for which data is to be stored in the packet processor memory and may receive memory reservation parameters for the set of network traffic processing features. Based on the received information, the processing circuitry may obtain and maintain memory reservation layout information for the set of features.

Abstract: A framework for automatically creating ternary content-addressable memory (TCAM) profiles for a network device is provided. In certain embodiments, the framework can automatically create a TCAM profile for the network device that defines a minimal qualifier set for every TCAM-enabled feature configured on the device, where the minimal qualifier set includes only the qualifiers actually used by the configured rules of that feature (rather than all of the feature's possible qualifiers). With this approach, the framework can advantageously automate the process of tuning the device's TCAM for optimal utilization.

Abstract: Methods and systems for determining whether brain tissue is indicative of a disorder, such as a neurodegenerative disorder, are provided. The methods and systems generally utilize data processing techniques to assess a level of congruence between measured parameters obtained from magnetic resonance imaging (MRI) data and simulated parameters obtained from computational modeling of brain tissues.

Abstract: A computing system can communicate, over one or more networks, with computing devices of requesting users and transport providers of a transport service, and determine, based at least in part on location data from the computing devices of a cluster of the requesting users, that the cluster of requesting users is currently in transit on a third-party transit means. The computing system can then determine that a subset of the cluster will arrive at a common arrival location of the third-party transit means, and execute a timing optimization for the subset to determine, for each requesting user of the subset, an optimal time to transmit a transport request for an on-demand transport service at the common arrival location.