Power Supply For Data Processing TRIZ Cases

Separate thermal and power policy data lets computers apply customer-specific settings without firmware rebuilds, cutting update time, cost, and errors.

Real-time power data lets applications adjust graphics and workload intensity to stay within OS-enforced caps and improve data center predictability.

Dynamic hysteresis feedback adapts processor low-power thresholds to workload changes, cutting DC power use without hurting performance.

A low-power secondary processor wakes the main processor only on external connection, cutting standby drain while preserving displayed content.

A latched relay bypass module preserves Ethernet connectivity during power loss without backup power, cutting cost and space.

A dedicated charge net added to dynamically IR-impacted standard cells stabilizes voltage and avoids timing failures without extra decap area.

XRAM-based peripheral subsets let an SoC warm boot run during DRAM calibration, cutting power use and startup latency.

After abnormal power loss, the controller locates the last written pages, finds weak data regions, and relocates data to speed flash recovery.

Human presence sensing is gated by operating conditions to wake a display from power saving without unnecessary cancellations or manual switching.

Unused slot power is combined across multiple expansion cards, letting peak-load cards draw more power while staying within system limits.

High-frequency signals over an I-share line let redundant network PSUs stay on standby until load surges, improving efficiency and load balance.

Fast droop detection throttles data fabric and memory traffic to prevent circuit failure and cut power during transient voltage drops.

On-die telemetry estimates switch power so a PMU can shift power to GPUs when links or switches idle, reducing overprovisioning waste.

Monitored phase current balancing redistributes computing loads to limit imbalance, reduce wasted power, and improve data center energy use.

Dynamic network plane deactivation cuts power use in multi-node computing while fabric-managed routing preserves latency and bandwidth.

Dynamic thresholds combine device and user time-usage patterns to balance sleep-state energy savings with fast wake responsiveness.

Selective power and clock domains let idle DPE subsets shut down while active engines keep running, cutting SoC accelerator energy use.

Vectorized channel samples feed a neural network to predict power supply faults and improve automotive IC fault response.

Selective SVA-based control of low-power assertion checkers cuts simulation time while preserving targeted verification coverage.

Battery-state display switching cuts mobile app power use, then restores regular mode for time-limited network events and clear visibility.

Dithered non-periodic limits mitigation reduces resonance, voltage droops, power use, and thermal stress during processor thread execution.

Priority-based SoC domain throttling extends control to non-computing IP blocks to keep power and thermal budgets within limits.

Per-compute-unit DPM control replaces max-value limiting to keep SoC power budgets fair, thermally compliant, and responsive to change.

Multi-tier AI models use FFT-based features and anomaly scoring to detect high-frequency power quality issues and support root-cause analysis.

Sliding, cable-free display modules simplify repair and upgrades while reducing e-waste through interchangeable power and control boards.

Dynamic global power policies tune per-element power in HPC clusters to cut energy use without the heavy performance loss of static caps.

Pre-read PSU working data stored by a controller avoids PMBUS contention when multiple computing assemblies request power status at once.