Abstract:
One embodiment provides a general-purpose graphics processing unit comprising a dynamic precision floating-point unit including a control unit having precision tracking hardware logic to track an available number of bits of precision for computed data relative to a target precision, wherein the dynamic precision floating-point unit includes computational logic to output data at multiple precisions.
Abstract:
An apparatus to facilitate neural network (NN) training is disclosed. The apparatus includes training logic to receive one or more network constraints and train the NN by automatically determining a best network layout and parameters based on the network constraints.
Abstract:
In an example, an apparatus comprises a compute engine comprising a high precision component and a low precision component; and logic, at least partially including hardware logic, to receive instructions in the compute engine; select at least one of the high precision component or the low precision component to execute the instructions; and apply a gate to at least one of the high precision component or the low precision component to execute the instructions. Other embodiments are also disclosed and claimed.
Abstract:
One or more sensors gather data, one or more processors analyze the data, and one or more indicators notify a user if the data represent an event that requires a response. One or more of the sensors and/or the indicators is a wearable device for wireless communication. Optionally, other components may be vehicle-mounted or deployed on-site. The components form an ad-hoc network enabling users to keep track of each other in challenging environments where traditional communication may be impossible, unreliable, or inadvisable. The sensors, processors, and indicators may be linked and activated manually or they may be linked and activated automatically when they come within a threshold proximity or when a user does a triggering action, such as exiting a vehicle. The processors distinguish extremely urgent events requiring an immediate response from less-urgent events that can wait longer for response, routing and timing the responses accordingly.
Abstract:
In some embodiments, remote graphics rendering may be facilitated by causing thin clients, that send raw graphics data to a local server for rendering, to downscale the data to a size appropriate for use by the local server. In some embodiments this avoids the storage of unnecessary data which is not useful for the local server because the actual display size on the local server is smaller than what the transmitted raw data would permit.
Abstract:
One or more sensors gather data, one or more processors analyze the data, and one or more indicators notify a user if the data represent an event that requires a response. One or more of the sensors and/or the indicators is a wearable device for wireless communication. Optionally, other components may be vehicle-mounted or deployed on-site. The components form an ad-hoc network enabling users to keep track of each other in challenging environments where traditional communication may be impossible, unreliable, or inadvisable. The sensors, processors, and indicators may be linked and activated manually or they may be linked and activated automatically when they come within a threshold proximity or when a user does a triggering action, such as exiting a vehicle. The processors distinguish extremely urgent events requiring an immediate response from less-urgent events that can wait longer for response, routing and timing the responses accordingly.
Abstract:
Technologies for managing security threats on a computing system include detecting a security threat to the computing system, determining a plurality of mitigation scenarios to employ on the computing system to mitigate the security threat, and implementing the plurality of mitigation scenarios. Each mitigation scenario includes one or more threat mitigation actions to be taken by the computing system, one or more response systems of the computing system to perform the threat mitigation actions, and a temporal sequence in which the threat mitigation actions are to be taken. The results of each mitigation scenario is evaluated and a validated mitigation scenario is determined based on the results. A user of the computing device may be subsequently trained or habituated to mitigate the security threat by requesting interaction from the user during the implementation of the validated mitigation scenario in response to a threat scenario designed to replicate the security threat.
Abstract:
Systems and techniques for extension of trust in a body area network are described herein. A device that may be a potential participant of the body area network may be identified. It may be determined that the device is worn by the body of the body area network based on a set of models of the body. The device may be promoted from potential participant to trusted participant of the body area network in response to determining that the device is on the body.
Abstract:
A graphics processor can include a processing cluster array including a plurality of processing clusters coupled with the plurality of memory controllers, each processing cluster of the plurality of processing clusters including a plurality of streaming multiprocessors, the processing cluster array configured for partitioning into a plurality of partitions. The plurality of partitions include a first partition including a first plurality of streaming multiprocessors configured to perform operations for a first neural network, The operations for the first neural network are isolated to the first partition. The plurality of partitions also include a second partition including a second plurality of streaming multiprocessors configured to perform operations for a second neural network. The operations for the second neural network are isolated to the second partition and protected from operations performed for the first neural network.
Abstract:
One embodiment provides a general-purpose graphics processing unit comprising a dynamic precision floating-point unit including a control unit having precision tracking hardware logic to track an available number of bits of precision for computed data relative to a target precision, wherein the dynamic precision floating-point unit includes computational logic to output data at multiple precisions.