Thermodynamic Scheduling for Processor Core Load Balancing
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Solution Overview
Problem
Existing computer systems face challenges with thermal variations and energy management, leading to reliability issues, increased cooling costs, and performance problems due to inadequate load balancing across processor cores, which neglects temperature and energy consumption factors.
Innovation Solution
A computer system that schedules loads across processor cores based on thermodynamic characteristics, including thermal history and energy consumption, using a bi-variate function to balance energy and temperature, assigning tasks to cores with the least thermal stress, and updating characteristics for closed-loop control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional load balancing schedulers distribute workload evenly across processor cores, then processor utilization increases and performance improves, but temperature distributions become unbalanced and reliability decreases
Solution Approach 1:
The scheduler assigns workloads based on local thermal conditions of each processor core rather than uniform distribution. Each core's thermal state is considered individually, allowing workloads to be directed away from hot spots and toward cooler regions, thereby maintaining high utilization while preventing thermal-related failures.
Solution Approach 2:
The system continuously monitors temperature and power consumption of processor cores and uses this feedback to dynamically adjust workload assignment. This closed-loop control ensures that scheduling decisions are based on real-time thermal states, preventing temperature-induced reliability issues while maintaining productivity.
2Power
If power density increases to improve performance, then processing capability improves, but cooling costs increase and temperature-related problems worsen
Solution Approach 1:
The workload assignment is made dynamic rather than static, allowing the system to adapt to changing thermal conditions in real-time. By dynamically adjusting which cores receive workloads based on their current thermal state, the system maximizes processing power while minimizing the energy required for cooling.
Solution Approach 2:
The system changes operational parameters (workload assignment) based on thermal conditions. By adjusting the distribution of computational tasks across cores with different thermal states, the system maintains high processing power while reducing overall thermal load and associated cooling requirements.
3Quantity of substance
If feature sizes shrink to increase integration, then device density improves, but spatial-temperature variations increase causing timing failures
Solution Approach 1:
The scheduler accounts for local thermal variations across different regions of the processor by assigning workloads based on the specific thermal state of each core. This localized approach compensates for spatial-temperature variations caused by high device density, ensuring consistent timing performance across the chip.
4Adaptability or versatility
If global clock networks extend across the chip to connect all processors, then system connectivity improves, but vulnerability to spatial temperature variations increases
Solution Approach 1:
The thermal-aware scheduler uses feedback from temperature monitoring to adjust workload assignment in a way that compensates for the vulnerability of global clock networks to spatial temperature variations. By avoiding overloading cores in regions with extreme thermal conditions, the system maintains reliable clocking performance across the entire chip.
Data Source
AI summary
A computer system to schedule loads across a set of processor cores is described. During operation, the computer system receives a process to be executed. Next, the computer system obtains one or more thermodynamic process characteristics associated with the process and one or more thermodynamic processor-core characteristics associated with operation of the set of processor cores. Then, the computer system schedules the process to be executed by at least one of the processor cores based on the one or more thermodynamic process characteristics and the one or more thermodynamic processor-core characteristics.