Sub-Ambient Processor Cooling Using Program Workload Hints
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional sub-ambient cooling systems for integrated circuits suffer from thermal lag and inefficiencies due to closed-loop temperature-based control, leading to power wastage and ineffective response to processor workload changes.
Innovation Solution
Implementing an open-loop control system using program workload hints to manage sub-ambient cooling devices, allowing proactive and efficient cooling based on anticipated heat loads, decoupling cooling device operation from processor temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If closed-loop temperature-based control is used for sub-ambient cooling devices, then temperature stability is maintained, but thermal response lag occurs and power efficiency deteriorates
Solution Approach 1:
The system performs preliminary cooling actions by anticipating heat loads based on program workload hints before actual temperature rise occurs. The cooling device is activated proactively when workload hints indicate upcoming thermal demands, eliminating the need to wait for temperature-based feedback loops to detect and respond to thermal conditions.
2Temperature
If closed-loop temperature-based control is used for sub-ambient cooling devices, then temperature stability is maintained, but power consumption increases
Solution Approach 1:
The system performs preliminary cooling actions by anticipating heat loads based on program workload hints before actual temperature rise occurs. The cooling device is activated proactively when workload hints indicate upcoming thermal demands, eliminating the need to wait for temperature-based feedback loops to detect and respond to thermal conditions.
Solution Approach 2:
The digital processor provides self-service by generating workload hints that directly indicate its own thermal demands. This self-reporting mechanism eliminates the need for external temperature sensing and control loops, allowing the cooling system to respond directly to the processor's actual operational state without continuous monitoring and adjustment.
3Temperature
If sub-ambient cooling devices operate continuously to maintain low temperatures, then cooling effectiveness is maintained, but power inefficiency increases
Solution Approach 1:
The cooling system transitions from static continuous operation to dynamic workload-driven operation. The cooling device adjusts its operation based on real-time workload hints from the processor, activating only when thermal demands are anticipated and deactivating when workloads are low, thereby optimizing the balance between cooling effectiveness and energy efficiency.
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 anticipating heat loads, reducing power consumption, and preventing thermal inertia buildup, thus maintaining optimal processor temperatures with improved responsiveness.
Implementation Method 1
sub-ambient cooling devices such as thermo-electric coolers and micro-refrigerators that are capable of cooling the electronic systems and devices to below ambient temperature
Data Source
AI summary
Program workload hints are sent from a processor to a sub-ambient cooling controller at or before the start of the program to enable the sub-ambient cooling device so that required cooling of the processor integrated circuit is anticipated before a significant temperature rise in the processor occurs. Program workload hints are used instead of processor temperature so that thermal lag is reduced, thereby reducing processor temperature rise. In addition, power to the sub-ambient cooling device may be turned off near or at completion of the program to minimize cooling power used. Multiple processors may share sub-ambient cooling device fans during thermal load diversity of the processors running programs at different times.


