Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to enter either a low-power sleep state or a high-power sleep state.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to enter either a low-power sleep state or a high-power sleep state.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to enter either a low-power sleep state or a high-power sleep state.

Abstract: Systems, apparatuses, and methods for dynamically partitioning a memory cache among a plurality of agents are described. A system includes a plurality of agents, a communication fabric, a memory cache, and a lower-level memory. The partitioning of the memory cache for the active data streams of the agents is dynamically adjusted to reduce memory bandwidth and increase power savings across a wide range of applications. A memory cache driver monitors activations and characteristics of the data streams of the system. When a change is detected, the memory cache driver dynamically updates the memory cache allocation policy and quotas for the agents. The quotas specify how much of the memory cache each agent is allowed to use. The updates are communicated to the memory cache controller to enforce the new policy and enforce the new quotas for the various agents accessing the memory.

Abstract: Systems, apparatuses, and methods for dynamically partitioning a memory cache among a plurality of agents are described. A system includes a plurality of agents, a communication fabric, a memory cache, and a lower-level memory. The partitioning of the memory cache for the active data streams of the agents is dynamically adjusted to reduce memory bandwidth and increase power savings across a wide range of applications. A memory cache driver monitors activations and characteristics of the data streams of the system. When a change is detected, the memory cache driver dynamically updates the memory cache allocation policy and quotas for the agents. The quotas specify how much of the memory cache each agent is allowed to use. The updates are communicated to the memory cache controller to enforce the new policy and enforce the new quotas for the various agents accessing the memory.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to immediately enter either a low-power sleep state or a high-power sleep state.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to immediately enter either a low-power sleep state or a high-power sleep state.

Abstract: A method from managing power state transitions in a computing system is disclosed. A processor may initiate a change in power state from a first initial power state to a first new power state and, in response to initiating the change, send an initial notification to a system integrated circuit using a first communication channel, and deactivate the first communication based on responses to the initial notification. The processor may enter the first new power state in response to the deactivation of the first communication channel, and send a final notification to a management controller using a second communication channel. The management controller may send a message to the system integrated circuit upon receiving the final notification. The system integrated circuit may then transition from a second initial power state to a second new power state based on the message.

Abstract: Described herein in various embodiments are techniques to better coordinate long wakeup events on a network processor that are due to radio or network activity with the long wakeups that are due to requests from an application processor. In one embodiment, power management logic can receive wake requests from system processes upon notice that one or more application processors are transitioning into a low power state. The power management logic can coalesce the wake requests based on a supplied margin and determine a wake timeframe in which the application processor may be opportunistically woken from the low power state. The power management logic can provide the wake timeframe for the application processor to a network processor in the system. The network processor can opportunistically cause an early wake of the application processor during the wake timeframe.

Abstract: An example computer-implemented method includes determining, by an electronic device, that the electronic device has not received a user activity for an interval of time. The method also includes determining, by the electronic device, a contextual state of the electronic device, and adapting, by the electronic device, a sleep delay value based on the determined contextual state of the electronic device. The method also includes determining that the interval of time has exceeded the sleep delay value, and responsive to determining that the interval of time has exceeded the sleep delay value, transitioning, by the electronic device, from a first power state to a second power state, where the first power state is higher or lower than the second power state.

Abstract: A method from managing power state transitions in a computing system is disclosed. A processor may initiate a change in power state from a first initial power state to a first new power state and, in response to initiating the change, send an initial notification to a system integrated circuit using a first communication channel, and deactivate the first communication based on responses to the initial notification. The processor may enter the first new power state in response to the deactivation of the first communication channel, and send a final notification to a management controller using a second communication channel. The management controller may send a message to the system integrated circuit upon receiving the final notification. The system integrated circuit may then transition from a second initial power state to a second new power state based on the message.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to enter either a low-power sleep state or a high-power sleep state.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to immediately enter either a low-power sleep state or a high-power sleep state.

Abstract: Described herein in various embodiments are techniques to better coordinate long wakeup events on a network processor that are due to radio or network activity with the long wakeups that are due to requests from an application processor. In one embodiment, power management logic can receive wake requests from system processes upon notice that one or more application processors are transitioning into a low power state. The power management logic can coalesce the wake requests based on a supplied margin and determine a wake timeframe in which the application processor may be opportunistically woken from the low power state. The power management logic can provide the wake timeframe for the application processor to a network processor in the system. The network processor can opportunistically cause an early wake of the application processor during the wake timeframe.

Abstract: An example computer-implemented method includes determining, by an electronic device, that the electronic device has not received a user activity for an interval of time. The method also includes determining, by the electronic device, a contextual state of the electronic device, and adapting, by the electronic device, a sleep delay value based on the determined contextual state of the electronic device. The method also includes determining that the interval of time has exceeded the sleep delay value, and responsive to determining that the interval of time has exceeded the sleep delay value, transitioning, by the electronic device, from a first power state to a second power state, where the first power state is higher or lower than the second power state.

Abstract: Described herein in various embodiments are techniques to better coordinate long wakeup events on a network processor that are due to radio or network activity with the long wakeups that are due to requests from an application processor. In one embodiment, power management logic can receive wake requests from system processes upon notice that one or more application processors are transitioning into a low power state. The power management logic can coalesce the wake requests based on a supplied margin and determine a wake timeframe in which the application processor may be opportunistically woken from the low power state. The power management logic can provide the wake timeframe for the application processor to a network processor in the system. The network processor can opportunistically cause an early wake of the application processor during the wake timeframe.

Abstract: An example computer-implemented method includes determining, by an electronic device, that the electronic device has not received a user activity for an interval of time. The method also includes determining, by the electronic device, a contextual state of the electronic device, and adapting, by the electronic device, a sleep delay value based on the determined contextual state of the electronic device. The method also includes determining that the interval of time has exceeded the sleep delay value, and responsive to determining that the interval of time has exceeded the sleep delay value, transitioning, by the electronic device, from a first power state to a second power state, where the first power state is higher or lower than the second power state.

Abstract: Described herein in various embodiments are techniques to better coordinate long wakeup events on a network processor that are due to radio or network activity with the long wakeups that are due to requests from an application processor. In one embodiment, power management logic can receive wake requests from system processes upon notice that one or more application processors are transitioning into a low power state. The power management logic can coalesce the wake requests based on a supplied margin and determine a wake timeframe in which the application processor may be opportunistically woken from the low power state. The power management logic can provide the wake timeframe for the application processor to a network processor in the system. The network processor can opportunistically cause an early wake of the application processor during the wake timeframe.

Abstract: An example computer-implemented method includes determining, by an electronic device, that the electronic device has not received a user activity for an interval of time. The method also includes determining, by the electronic device, a contextual state of the electronic device, and adapting, by the electronic device, a sleep delay value based on the determined contextual state of the electronic device. The method also includes determining that the interval of time has exceeded the sleep delay value, and responsive to determining that the interval of time has exceeded the sleep delay value, transitioning, by the electronic device, from a first power state to a second power state, where the first power state is higher or lower than the second power state.