Processor Module Sensor Monitoring for Data Center Thermal Stability
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Solution Overview
Problem
Maintaining consistent performance across computer processors in data centers is challenging due to issues like uneven thermal distribution, stress variations, and maintenance costs arising from processor module instability, which can lead to die shutdowns and performance variations.
Innovation Solution
Incorporating sensors, such as pressure, temperature, and displacement sensors, within processor modules to monitor key performance indicators, coupled with a real-time monitoring system that adjusts and alerts for maintenance needs, ensuring uniform pressure and thermal management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring with multiple sensors is implemented in processor modules, then reliability and performance consistency are improved, but device complexity and manufacturing cost increase
Solution Approach 1:
Multiple sensor types (pressure, temperature, displacement) are integrated into a single monitoring system within the processor module, allowing comprehensive health monitoring through one unified system rather than separate systems for each parameter
Solution Approach 2:
The monitoring system is designed to perform multiple functions simultaneously - detecting pressure, temperature, and displacement - allowing a single system to address multiple reliability concerns without proportionally increasing complexity
2Reliability
If continuous real-time monitoring is implemented, then maintenance needs are detected earlier improving reliability, but energy consumption and system complexity increase
Solution Approach 1:
The monitoring system uses feedback from sensor readings to trigger maintenance alerts only when thresholds are exceeded or anomalies are detected, rather than requiring continuous active processing of all data, thereby reducing energy consumption while maintaining reliability
Solution Approach 2:
The system automatically monitors and detects maintenance needs without requiring external intervention or continuous high-power processing, allowing the processor module to self-diagnose its health status with minimal energy overhead
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 processor module stability and performance consistency by providing real-time monitoring and proactive maintenance, reducing defects and maintenance costs while improving thermal efficiency and reliability.
Implementation Method 1
In particular, the sensors include at least one pressure sensor
Implementation Method 2
the sensors include at least one temperature sensor
Implementation Method 3
the sensors include at least one displacement sensor
Implementation Method 4
a heat sink over the semiconductor package; a thermal interface material between the semiconductor package and the heat sink
Data Source
AI summary
One or more sensors are integrated into a processor module that includes a semiconductor package and a heat sink. A plurality of processor modules is present in a server, and data from each processor module is sent to a digitally integrated monitoring system which can be part of a data center hardware monitoring system. The server may be one of many servers located in a data center. The data may be further sent to a remote data center maintenance center that concurrently monitors several data centers. When compared to different benchmarks, the data can be used to determine in real time whether maintenance is needed for a given processor module.