Processor Thermal Management via Kalman Filter Predictive Cooling

Solution Overview

Problem

High-performance computing systems face overheating issues due to over-clocking and over-voltage, leading to reduced performance and potential damage, as existing cooling technologies are reactionary and inefficient in predicting and managing heat flux dynamically.

Innovation Solution

A method and system that utilize a Kalman filter embedded in the processor, combined with a photo sensor network and temperature sensors, to predict and correct input flux, and a precision cooling unit to maintain processor temperature within a threshold, enabling extended over-clocking and over-voltage operation through proactive coolant release.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If over-clocking and over-voltage are applied to increase computational performance, then processing speed and productivity are improved, but temperature increases causing overheating and system reliability deterioration

Engineering Contradiction:

Improvecomputational performanceVSAvoidprocessor temperature

Core Design Contradiction:

ProductivityVSTemperature

Solution Approach 1:

The cooling system performs preliminary action by predicting future temperature increases based on scheduled computational tasks and releasing coolant proactively before overheating occurs. The system analyzes the schedule of computational tasks to forecast thermal loads and adjusts coolant release timing accordingly, preventing temperature thresholds from being exceeded while maintaining high computational performance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously monitoring processor temperature, computational task schedules, and coolant conditions, then using this information to dynamically adjust coolant release rates. The controller receives feedback from temperature sensors and task schedulers to optimize cooling performance in real-time, ensuring temperature remains within safe operating ranges during high-performance computing operations.

Inventive Principle:

Principle #23Feedback

2Device complexity

If traditional reactive cooling systems are used to manage heat, then device complexity is reduced, but response time increases and temperature control precision deteriorates

Engineering Contradiction:

Improvecooling system complexityVSAvoidtemperature response time

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The cooling system performs preliminary action by predicting future temperature increases based on scheduled computational tasks and releasing coolant proactively before overheating occurs. The system analyzes the schedule of computational tasks to forecast thermal loads and adjusts coolant release timing accordingly, preventing temperature thresholds from being exceeded while maintaining high computational performance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously monitoring processor temperature, computational task schedules, and coolant conditions, then using this information to dynamically adjust coolant release rates. The controller receives feedback from temperature sensors and task schedulers to optimize cooling performance in real-time, ensuring temperature remains within safe operating ranges during high-performance computing operations.

Inventive Principle:

Principle #23Feedback

3Temperature

If coolant is released continuously to maintain low temperature, then temperature control precision is improved, but energy consumption increases

Engineering Contradiction:

Improveprocessor temperature controlVSAvoidcooling system energy consumption

Core Design Contradiction:

TemperatureVSUse of energy by moving object

Solution Approach 1:

The cooling system implements periodic action by releasing coolant in controlled pulses rather than continuous flow. The controller adjusts the frequency and duration of coolant release pulses based on predicted thermal loads from scheduled computational tasks. This periodic cooling approach maintains temperature control precision while significantly reducing energy consumption compared to continuous coolant circulation.

Inventive Principle:

Principle #19Periodic action

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

The solution effectively maintains processor temperature within a predefined range, enhancing system performance and reliability by dynamically managing thermal loads and preventing overheating, even at high computational frequencies.

Implementation Method 1

Cooling systems are used to dissipate heat or reduce the temperatures of processor and other components of the machine

Methodology Applied

Scientific EffectThermal conduction: Conduction (thermal)

Implementation Method 2

Water cooling may yield better results than fans

Methodology Applied

Scientific EffectConvection: Convection

Data Source

PatentUS10054994B2Non-uniform intensity mapping using high performance enterprise computing system

Publication Date: 2018.08.21 TATA CONSULTANCY SERVICES LTD

AI summary

The present disclosure discloses a method and system for non-uniform intensity mapping using a high performance enterprise computing system with enhanced precision cooling, enabling extended over-clocking and over-voltage operation. A Kalman filter embedded in the processor predicts and corrects the input data flux for real-time use by taking care of over-clocking and over-voltage.