Regional Cooling for Integrated Circuits Based on Failure Rate Analysis
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Solution Overview
Problem
System-on-chip (SOC) designs face challenges in managing heat dissipation effectively, leading to increased operating temperatures and costs, particularly due to over-design for worst-case scenarios, which can compromise acoustic performance and result in unnecessary power consumption and larger form factors.
Innovation Solution
Implementing a semiconductor device cooling system that leverages regional voltage and temperature reliability risk considerations by determining failure rates for each region of the SOC, calculating a heat dissipation factor to reduce temperatures, and dynamically adjusting cooling mechanisms to allow temperature increases in selected regions without exceeding overall failure rates, thereby reducing heat dissipation requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If greater measures are taken to dissipate heat, then reliability is improved, but device complexity and size increase
Solution Approach 1:
The integrated circuit is divided into multiple regions, each with its own temperature and failure rate characteristics. The cooling system is designed to target specific high-risk regions rather than uniformly cooling the entire device, reducing overall complexity while maintaining reliability.
Solution Approach 2:
Different regions of the integrated circuit are assigned different cooling requirements based on their specific failure rates, temperatures, and supply voltages. The cooling system applies localized heat dissipation measures to regions that need them most, rather than uniformly cooling all regions.
2Reliability
If greater measures are taken to dissipate heat, then reliability is improved, but device size increases
Solution Approach 1:
Instead of using a large heat sink to cool the entire integrated circuit, the system segments the cooling approach by identifying and targeting only the specific regions that contribute most to failure risk, thereby reducing the required heat sink size.
Solution Approach 2:
The system dynamically adjusts cooling parameters based on actual operating conditions, including temperature, supply voltage, and failure rate of each region. This allows for reduced heat dissipation capacity compared to worst-case designs, reducing heat sink size.
3Productivity
If higher supply voltages are used to increase performance, then productivity is improved, but temperature increases
Solution Approach 1:
The system identifies regions with maximum supply voltage and correlates them with high failure rates. Cooling is specifically targeted to these high-voltage, high-temperature regions rather than applying uniform cooling across the entire device.
Solution Approach 2:
The system uses failure rate calculations based on temperature and voltage to dynamically adjust cooling requirements. This feedback mechanism allows the system to maintain reliability while optimizing the balance between performance and temperature management.
4Reliability
If heat dissipation is increased to maintain reliability, then acoustic performance deteriorates, but reliability is improved
Solution Approach 1:
The system applies cooling only to the extent necessary to maintain reliability, rather than using excessive cooling capacity designed for worst-case scenarios. By targeting only the critical regions that contribute to failure risk, the system reduces the need for high-speed fans and minimizes acoustic interference.
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
This approach reduces power consumption, material costs, and cooling system size by tailoring heat dissipation to actual operating conditions, maintaining reliability while minimizing acoustic interference and optimizing form factor in devices like smartphones and tablets.
Implementation Method 1
dissipate heat, typically at added expense, complexity and size
Implementation Method 2
heat dissipation factor of the cooling system based on the failure rates of the regions, where implementation of the heat dissipation factor would, for each region, reduce its projected temperature
Data Source
AI summary
Embodiments are disclosed that relate to implementing semiconductor device cooling systems that leverage awareness of regional voltage and temperature reliability risk considerations. For example, one disclosed embodiment provides a method of implementing a cooling system configured to cool an integrated circuit. The method involves first determining a heat dissipation factor that would reduce each region of the integrated circuit to a reduced temperature in order to maintain an overall failure rate. An analysis is then performed, using an insight about the relative reliability risk of elevated voltage and temperatures, to identify a region of the integrated circuit whose temperature can be permitted to rise without exceeding the overall failure rate, thereby permitting implementation of a cooling system with a reduced heat dissipation factor.