Workload-Aware VM Pause Delays for P- and E-Core Efficiency
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Solution Overview
Problem
Existing virtual machine (VM) systems with statically set maximum pause delays for the TPAUSE instruction fail to account for the nuances of hybrid architectures combining Performance-cores (P-cores) and Efficiency-cores, leading to non-optimal polling times and increased power consumption, resulting in performance and efficiency losses.
Innovation Solution
The processor capabilities manager dynamically adjusts core C-states and maximum pause delay durations in real-time based on metrics such as host system idle and utilization rates, energy-performance preference, system workload profiles, and thermal limitations to optimize polling times and core power states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a static maximum pause delay is set for the TPAUSE instruction, then the system configuration is simple and stable, but the polling time is non-optimal and power consumption increases
Solution Approach 1:
The patent applies dynamics by transitioning from a static maximum pause delay configuration to a dynamic one that automatically adjusts based on real-time host system conditions. The processor capabilities manager monitors metrics such as idle rates, utilization rates, energy-performance preferences, workload profiles, and thermal limitations to dynamically modify the pause delay duration. This dynamic adjustment allows the system to optimize polling times according to actual operational state, reducing unnecessary power consumption while adapting to varying workload conditions without requiring manual reconfiguration.
2Productivity
If a static maximum pause delay is used, then the system operation is simple, but processing performance on hybrid platforms is non-optimal
Solution Approach 1:
The patent implements feedback mechanisms where the processor capabilities manager continuously monitors host system metrics including idle rates, utilization rates, energy-performance preferences, workload profiles, and thermal limitations. Based on this feedback, the system automatically adjusts the maximum pause delay duration to optimize processing performance on hybrid architectures combining Performance-cores and Efficiency-cores. This feedback-driven adaptation ensures that polling times are optimized for current system conditions, improving productivity while maintaining ease of operation through automated management.
3Measurement precision
If the pause delay is extended to improve polling accuracy, then measurement precision improves, but loss of time increases
Solution Approach 1:
The patent applies parameter changes by dynamically modifying the maximum pause delay duration based on real-time system conditions. The processor capabilities manager adjusts this critical parameter according to monitored metrics such as idle rates, utilization rates, energy-performance preferences, workload profiles, and thermal limitations. This dynamic parameter adjustment allows the system to optimize the balance between polling accuracy and time efficiency, extending the pause delay only when necessary to achieve accurate polling while minimizing time wasted on VM Exit events during high-performance windows.
Data Source
AI summary
A disclosed example accesses a workload type indicator associated with a workload executed on a virtual machine hosted by an apparatus; and sets a delay duration in a configuration register. the delay duration based on at least one of the workload type indicator or a temperature measurement value corresponding to hardware.