Movable Cooling Structures for Adaptive XPU Thermal Management
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Solution Overview
Problem
Conventional cooling solutions for data centers are statically configured and fail to adapt to changing workloads and environmental conditions, leading to inefficient energy consumption and performance constraints, particularly in high-performance computing environments with varying XPU requirements.
Innovation Solution
Implementing software-defined cooling (SDC) structures with movable cooling components and a motion control system that dynamically adjust their position based on sensor data and workload changes, allowing for precision cooling and power distribution across different zones within a device chassis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional static cooling solutions are used, then device complexity is reduced and ease of manufacture is improved, but cooling efficiency deteriorates and energy consumption increases
Solution Approach 1:
The cooling system transitions from a static configuration to a dynamic one where cooling components (such as cold plates, heat sinks, or liquid cooling modules) can move along predefined paths to different positions within the device chassis. This dynamic repositioning allows the cooling system to adapt to varying thermal loads and workload phases, thereby improving cooling efficiency without requiring a completely complex redesign of the entire cooling architecture
Solution Approach 2:
The movable cooling components are designed to serve multiple functions: they can be repositioned to cool different electronic components (GPUs, CPUs, memory modules) depending on which component is currently experiencing high thermal load. A single cooling module can thus serve multiple cooling zones sequentially, reducing the need for dedicated cooling components for each electronic component
2Adaptability or versatility
If static cooling configuration is used, then manufacturing cost is reduced, but adaptability to changing workloads deteriorates and energy consumption increases
Solution Approach 1:
The system incorporates temperature sensors that continuously monitor thermal conditions of electronic components. Based on this feedback, the control system determines when and where cooling is needed, then repositions cooling components accordingly. This feedback mechanism ensures the cooling system adapts to actual workload conditions rather than operating in a fixed mode, improving energy efficiency by avoiding unnecessary cooling
Solution Approach 2:
The cooling system operates in periodic cycles, repositioning cooling components to different locations based on detected thermal conditions. Rather than continuously adjusting or maintaining a fixed position, the system periodically moves cooling components to where they are most needed, creating an adaptive rhythm that matches workload patterns
3Ease of operation
If cooling components are fixed in position, then ease of operation is improved, but cooling performance under varying conditions deteriorates
Solution Approach 1:
The cooling system is designed to automatically reposition its components based on thermal feedback without requiring manual intervention. The system monitors its own thermal conditions and autonomously adjusts cooling component positions to maintain optimal thermal performance, making the complex adaptive behavior transparent to the user while preserving operational simplicity
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
Enables adaptive thermal management that optimizes cooling performance, extends hardware lifespan, and reduces energy consumption by dynamically responding to workload phases and environmental conditions, thereby enhancing system flexibility and efficiency.
Implementation Method 1
circuitry to decode sensor data from a sensor of an electronic component of an electronic device
Implementation Method 2
perform thermal management of the electronic component using the SDC structure, where the second position to comprise a position within a defined distance to the electronic component
Data Source
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AI summary
Software defined cooling structures are described. A method comprises decoding sensor data from a sensor of an electronic component of an electronic device, generating a control directive to move a software defined cooling (SDC) structure of a cooling system from a first position to a second position based on the sensor data, moving the SDC structure from the first position to the second position in response to the control directive, the second position to comprise a position within a defined distance to the electronic component of the electronic device, and performing thermal management of the electronic component using the SDC structure. Other embodiments are described and claimed.