Arm IP Limited

James Crosby

Hugo John Martin Vincent

Milosch Meriac

Marcus Chang

Brendan James Moran

Andrew John Pritchard

Geraint David Luff

Jacopo Mondi

A method for operating an electronic device to configure a subject device, the method comprising steps of: receiving an intent from a subject device, wherein the received intent comprises an action identifier identifying an action the subject device wishes to perform; receiving action data about the received intent from an intent store, wherein the action data comprises an action associated with each action identifier, and at least one constraint associated with the action; and generating invocation data to perform the action, wherein the invocation data comprises the action identifier, and zero or more parameters.

Managing interaction constraints

A data processing device has a processor which executes software directly from non-volatile memory. The processor has a runtime component which dynamically maps software element identifiers specified by the software to corresponding software elements in memory. Mapping information is used to determine which software elements identifiers correspond to which software elements. This provides a level of indirection which can be used to make software updates more efficient, by updating only parts of the software while leaving old parts of the software as they are. Updated software elements can be stored to memory and the mapping information updated to point to the new elements, while existing mappings may be retained.

Method and device for updating software executed from non-volatile memory

Apparatus and methods for remotely monitoring a plurality of distributed devices is provided. The apparatus and methods determine logging conditions which define a state of a device at which recording of the state of the device should begin prior to an event, in order to identify a sequences of actions which occur at the devices prior to the event.

System for monitoring a plurality of distributed devices

A data processing system operates in a plurality of modes including a first privilege mode and a second privilege mode with the first privilege mode giving rights of access that are not available in the second privilege mode. Application code executes in the second privilege mode and generates function calls to hypervisor code which executes in the first privilege mode. These function calls are to perform a secure function requiring the rights of access which are only available in the first privilege mode. Scheduling code which executes in the second privilege mode controls scheduling of both the application code and the hypervisor code. Memory protection circuitry operating with physical addresses serves to control access permissions required to access different regions within the memory address space using configuration data which is written by the hypervisor code. The hypervisor code temporarily grants access to different regions within the physical memory address space to the system in the second privilege mode as needed to support the execution of code scheduled by the scheduling code.

Access control and code scheduling

A method for managing a discontinuous call stack is disclosed to more efficiently use the memory of devices without a memory management unit. The method comprising: storing a stack location indicator indicating a top of said discontinuous call stack in a data store; using said stack location indicator to identify a current memory block of said discontinuous call stack from said plurality of memory blocks, said current memory block storing said top of said discontinuous call stack and a previous location indicator indicating a location of a previous memory block of said discontinuous call stack; determining an amount of memory available in said current memory block; determining an amount of memory required for a stack frame; determining an amount of memory required for an interrupt allowance; allocating said stack frame and said interrupt allowance at least one memory block from said plurality of memory blocks in response to said determinations; storing said stack frame in said allocated memory block; and updating said stack location indicator in said data store.

Method for allocating memory

A method of scheduling operations to be executed by a data processing apparatusincludes determining energy cost functions for candidate schedules of operations, based on which resources of the data processing apparatus are required for execution of the operations. One of the candidate schedules is selected based on the energy cost functions. By scheduling operations based on which resources are used by the operations, energy efficiency can be improved.

Energy-based scheduling of operations to be executed by a data processing apparatus

A method for detecting and responding to a configuration setting capable of causing undesired energy consumption in a configurable electronic device comprises measuring a power state of at least one connection point of the configurable electronic device to establish a measured power state value; comparing the measured power state value with a stored power state value for the connection point; and responsive to a discrepancy between the measured power state value and the stored power state value for the connection point where the discrepancy is capable of causing undesired energy consumption, emitting a condition signal.

Detecting undesired energy consumption in electronic devices

A data processing apparatus has a scheduler which maintains a queue of function calls to be scheduled for processing by processing circuitry. The scheduler identifies, for every function call in the queue, a target time window within which the processing circuitry should process the function call. The scheduler schedules processing of the function calls based on the target time window.

Scheduling function calls

Proximity of a wearable processing device to a data processing apparatus is detected based on wireless signals received by the data processing apparatus from the wearable processing device. A user input operation is detected which comprises a physical interaction with the data processing apparatus. In response to detecting the user input operation, at least one detection parameter is calibrated for the proximity detection. This provides a convenient technique for calibrating the proximity detection which does not require complicated operations from the user.

Calibrating proximity detection for a wearable processing device

A data processing devicehas a processorwhich executes software directly from non-volatile memory. The processorhas a runtime componentwhich dynamically maps software element identifiers specified by the software to corresponding software elements in memory. Mapping informationis used to determine which software elements identifiers correspond to which software elements. This provides a level of indirection which can be used to make software updates more efficient, by updating only parts of the software while leaving old parts of the software as they are. Updated software elements can be stored to memory and the mapping information updated to point to the new elements, while existing mappings may be retained.

Growing community of inventors

Ely, United Kingdom

James Crosby