Abstract:
Techniques are generally described for generating an identification number for an integrated circuit (IC). In some examples, methods for generating an identification for an IC may comprise selecting circuit elements of the IC, evaluating measurements of an attribute of the IC for the selected circuit elements, wherein individual measurements are associated with corresponding input vectors previously applied to the IC, solving a plurality of equations formulated based at least in part on the measurements taken of the attribute of the IC for the selected circuit elements to determine scaling factors for the selected circuit elements, and transforming the determined scaling factors for the selected circuit elements to generate an identification number of the IC. Additional variants and embodiments may also be disclosed.
Abstract:
Techniques are generally described for determining locations of a plurality of communication devices in a network. In some examples, methods for creating a location discovery infrastructure (LDI) for estimating locations of one or more of a plurality of communication nodes may comprise one or more of determining a plurality of locations in the terrain to place a corresponding plurality of beacon nodes, determining a plurality of beacon node groups for the placed beacon nodes, and determining a schedule for the placed beacon nodes to be active. Additional variants and embodiments are also disclosed.
Abstract:
Techniques for user profile-based system level management (SLM) and creation of system level agreements of a wireless device are generally disclosed. In some examples, a predictor may be provided to predict a future task to be performed by a wireless device, including resource requirements, based at least in part on a profile of a user and at least one of a profile of a communication partner the user, an operational recommendation, a performance model or a current state. An optimizer/analyzer may be provided to generate a plurality of instructions to configure the wireless device, based at least in part on the predicted future task and resource requirement, and a quality of service requirement of the wireless device, in anticipation of having to perform the predicted task. In various examples, the predictor and the optimizer/analyzer may form a local or a remotely disposed system level manager.
Abstract:
Techniques described herein generally include methods and systems related to the use of processors that include graphene-containing computing elements while minimizing or otherwise reducing the effects of high leakage energy associated with graphene computing elements. Furthermore, embodiments of the present disclosure provide systems and methods for scheduling instructions for processing by a chip multiprocessor that includes graphene-containing computing elements arranged in multiple processor groups.
Abstract:
A technique of reducing leakage energy associated with a post-silicon target circuit is generally described herein. One example method includes purposefully aging a plurality of gates in the target circuit based on a targeted metric including a timing constraint associated with the target circuit.
Abstract:
Data compression technology (“the technology”) is disclosed that can employ two or more prediction models contemporaneously. The technology receives data from one or more sources; shifts or re-sample one of more corresponding signals; creates a prediction model of uncompressed samples using at least two different individual or composite models; selects a subset of the models for prediction of samples; determines an order in which signals will be compressed; formulates a combined predictions model using the selected subset of models; predicts a future value for the data using the combined compression model; defines a function that has as parameters at least the predicted future values for the data and actual values; selects a compression method for the values of the function; and compresses the data using at least the predicted value of the function.
Abstract:
Embodiments include but are not limited to cellular phones, methods practice thereon, for autonomously servicing a call or a message, on behalf of the user, without interacting with the user, are disclosed herein. In various embodiments, data about a user of the cellular phone, internal conditions of the cellular phone, or external environment of the cellular phone are locally collected and from a wireless communication network. In various embodiments, multiple agents are provided to the cellular phone, wherein each agent is configured to determine, on receipt of a received call or message, a current service context based at least in part on some of the data stored, and autonomously servicing the received call or message based on the results of the determination. Other embodiments may be described and claimed.
Abstract:
Technologies are generally described for hardware synthesis using thermally aware scheduling and binding. Multiple versions of a hardware design may be generated, each having variations of schedule and binding results. The scheduling and binding may be performed such that thermal profiles of the multiple versions have thermal peaks that are distant between the versions. The increased physical distance between the thermal peaks of the versions can give the versions unique thermal characteristics. A schedule of rotation between the multiple versions of the design may be constructed such that the thermal profile of the integrated circuit balances out during operation. A linear programming framework may be used to analyze the multiple designs and construct a thermally aware rotation scheduling and binding. For example, the K most efficient versions may be selected and then durations for operating each version within a rotation may be determined.
Abstract:
Techniques are generally described for determining locations of a plurality of communication devices in a network. In some examples, methods for creating a location discovery infrastructure (LDI) for estimating locations of one or more of a plurality of communication nodes may comprise one or more of determining a plurality of locations in the terrain to place a corresponding plurality of beacon nodes, determining a plurality of beacon node groups for the placed beacon nodes, and determining a schedule for the placed beacon nodes to be active. Additional variants and embodiments are also disclosed.
Abstract:
Techniques are generally described for determining locations of a plurality of communication devices in a network. In some examples, methods for creating a location discovery infrastructure (LDI) for estimating locations of one or more of a plurality of communication nodes may comprise one or more of determining a plurality of locations in the terrain to place a corresponding plurality of beacon nodes, determining a plurality of beacon node groups for the placed beacon nodes, and determining a schedule for the placed beacon nodes to be active. Additional variants and embodiments are also disclosed.