Edge configuration device requests SPB settings from a remote management server to enable non-compatible end devices on the network.
Service-based power management reduces energy waste by activating resources only during active service requests.
Controller changes clock frequency and voltage level during data transmission to reduce power consumption in idle periods.
A USB identification line enables bidirectional communication between connected devices to negotiate power characteristics dynamically.
A system detects instant-on boot events to disable additional graphics processing units and conserve battery power in portable devices.
A storage system manages current consumption across multiple flash memory devices using a state machine to coordinate operations.
Dynamic interface switching between large and small modes optimizes screen space utilization while reducing power consumption in ultra mobile devices.
A communication terminal alternates transmission and reception modes cyclically to reduce power consumption during ad hoc network discovery.
A network device propagates configuration files to peer devices using a processing engine and recursive link layer discovery protocol.
A monitoring module measures instruction arrival rates to calculate optimal service frequencies for individual processor cores.
NAND die auto-suspend and resume operations stagger high-current events, reducing peak power consumption without extending execution duration.
Sorts PHICH resources by transmit energy to balance group loads and reduce interference variance.
A bridge unit manages functional units by applying clock-gating and power-gating based on idle time thresholds.
A controller adjusts switch states to dynamically share power grids, reducing noise interference and enabling independent voltage scaling.
Bus frequency controller adjusts clock speed based on master module activity, resolving the contradiction between reduced CPU power and degraded bus bandwidth.
Automated simulation detects clock gating opportunities in pipeline stages, reducing active power consumption without manual design complexity.
A bus transceiver uses a wake-up detector to configure itself from microcontroller signals without extra pins.
A resource manager monitors buffer levels and thread states to coordinate dispatch timing in multi-threading processors.
Encoding digital signals onto a shared bus lead reduces switching activity.
Controllers exchange discovery messages to negotiate power budgets, enabling efficient load sharing while reducing formation complexity.
Frequency segmentation and priority assignment allow the apparatus to select clean channels, resolving interference from high-power services in shared bands.
A current balancing module reduces consumption differences between processor modules using a buck converter.
A USB to SATA bridge delays acknowledgments to manage power usage within USB limits.
A memory ordering queue tracks active operations to enable speculative trace execution without architectural state changes.
A non-volatile memory system dynamically switches operating modes to alter clock rates and programming pulse characteristics during critical operations.
A computer display system segments the graphics card into a processing unit and memory buffer to manage independent power states.
L1_DL_RESET state powers down data link layer logic and returns flow control credits, reducing leakage power beyond traditional ASPM limits.
A multithreaded processor aggregates execution bandwidth requests to dynamically scale clock frequency and voltage.
A usage monitor aggregates network data for billing while sampling it for analysis.
A wakeup generation module produces a signal on a USB power line or sideband to activate the bus from a non-powered state.
A data transfer switch stores device configuration to accelerate resume operations.
Adjusts transmitter swing and equalization during clock restart to prevent voltage noise induced data errors.
Segmenting SRAM bit cell rows into subsets allows selective pre-charging of only required cells, eliminating power waste from unnecessary row activation.
A resource model defines discrete operating modes and transition costs for multi-processor platforms to enable precise task scheduling.
Energy-away control elements segment home network service units to reduce energy waste during remote operation.
A network management system identifies devices lacking discovery protocols and triggers notifications to enable them.
Intelligent network interfaces exchange test messages to measure performance without modifying existing infrastructure.
Virtualizing mobile device functions on a remote server resolves the contradiction between high performance and low manufacturing cost.
A portable power bank switches between active and idle modes to conserve energy.
Comparing received cell search lists against stored databases reduces power consumption and computation load during OTDOA positioning.
A cooling efficiency monitoring method calculates an operating indicator from power consumption and temperature differential to detect performance changes.
Self-idling USB devices enter suspend mode in less than one millisecond without host confirmation, eliminating protocol overhead and reducing power consumption.
Hierarchical clustering of compute-intensive regions reduces configuration loading time and power consumption in multimedia applications.
A hardware performance monitor uses parallel delay line branches with staggered taps to measure fractional delays smaller than individual cell limits.
Segmenting bonded connections at an intermediary node reduces long haul latency and impedance while maintaining throughput between distant client sites.
A medical image reconstruction system assigns tasks to multiple parallel pipelines based on priority levels.
A timer management system consolidates multiple application resume requests into a single wake-up event to reduce battery drain.
A waste water management module monitors discharge volume and adjusts computing system operating parameters to control evaporative cooler output.
A logical power throttling unit reduces average instructions decoded per processor cycle without changing supply voltages.