GPU Module Fan Control Using Ambient-Aware Cooling Curves
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Solution Overview
Problem
Existing systems fail to optimize fan RPM settings based on both GPU chip temperature and ambient temperature, leading to inefficient cooling and excessive noise due to over-cooling at lower ambient temperatures.
Innovation Solution
Implement multiple RPM vs. GPU die temperature curves in the tabulated information, using different curves based on ambient temperature thresholds, and integrate an ambient temperature sensor to dynamically adjust fan speeds for precise cooling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If fan RPM is increased to cool GPU chip at high ambient temperatures, then cooling performance is improved, but acoustic noise increases
Solution Approach 1:
The patent implements dynamic fan RPM adjustment based on real-time ambient temperature sensing. The controller dynamically selects from multiple RPM vs. GPU temperature curves stored in tabulated information, switching between curves as ambient temperature crosses thresholds. This dynamic adaptation allows the system to use lower RPM (less noise) when ambient temperature is low, and higher RPM (more cooling) when ambient temperature is high, resolving the contradiction between cooling performance and acoustic noise.
Solution Approach 2:
The patent changes the operational parameters by storing multiple RPM vs. GPU temperature curves corresponding to different ambient temperature conditions in the tabulated information. Each curve represents a different operational mode with optimized RPM settings for specific ambient temperature ranges. The controller selects the appropriate curve based on sensed ambient temperature, thereby changing the fan speed parameter adaptively to balance cooling effectiveness and noise generation.
2Reliability
If fan RPM is increased to ensure adequate cooling, then reliability is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts fan RPM based on ambient temperature conditions by selecting from multiple pre-stored curves in tabulated information. When ambient temperature is low, the controller selects curves that permit lower RPM settings while maintaining adequate cooling, thereby reducing energy consumption. When ambient temperature rises, the controller switches to curves that require higher RPM to maintain cooling adequacy and reliability. This dynamic parameter selection resolves the contradiction between ensuring reliable cooling and minimizing energy use.
Solution Approach 2:
The patent stores multiple RPM vs. GPU temperature curves corresponding to different ambient temperature conditions, each optimized for energy efficiency while maintaining cooling reliability. The controller changes the operational parameter (RPM) by selecting the appropriate curve based on sensed ambient temperature, thereby adapting fan energy consumption to actual thermal conditions rather than using a fixed conservative setting.
3Reliability
If a single RPM vs. GPU temperature curve is used for high ambient temperature, then cooling adequacy is ensured, but over-cooling occurs at lower ambient temperatures
Solution Approach 1:
The patent segments the single RPM vs. GPU temperature curve into multiple curves, each corresponding to a specific ambient temperature range. The tabulated information stores multiple segmented curves instead of one universal curve. The controller segments the operational space by selecting the appropriate curve based on sensed ambient temperature thresholds. This segmentation allows the system to use conservative high-RPM settings only when necessary (high ambient temperature) and relaxed lower-RPM settings when ambient temperature is low, eliminating excessive cooling energy waste while maintaining cooling adequacy in each segment.
Solution Approach 2:
The patent changes the operational parameters by storing multiple RPM vs. GPU temperature curves in tabulated information, each optimized for specific ambient temperature conditions. Instead of using one universal curve that guarantees cooling adequacy at all temperatures (leading to over-cooling), the system changes the curve parameter based on ambient temperature sensing. This allows each curve to be optimized for its specific temperature range, preventing excessive cooling energy consumption while maintaining reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances cooling efficiency by reducing acoustic noise and improving thermal management through optimized fan speed adjustments based on ambient conditions.
Implementation Method 1
a heat sink 102 and a plurality of fans 103. The heat sink 102 is thermally coupled to a semiconductor chip package
Implementation Method 2
The air flows through the fins of the heat sink 102 and is then blown out of the module 101 as hot exhaust
Implementation Method 3
The fans 103 draw air into the graphics module 101. The air flows through the fins of the heat sink 102 and is then blown out of the module 101
Data Source
AI summary
An apparatus is described. The apparatus includes a semiconductor chip package having a semiconductor chip therein. The semiconductor chip package to communicate a temperature of the semiconductor chip. The apparatus includes a heat sink that is thermally coupled to the semiconductor chip package. The heat sink has fins. The apparatus includes a fan. The apparatus includes a temperature sensing device. The temperature sensing device is to sense a temperature of an ambient before the ambient is warmed by the fins. A rotational speed of the fan is to be determined from the temperature of the semiconductor chip and the temperature of the ambient.