Scheduler-Assisted Power Management for Semiconductor Voltage Control
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Solution Overview
Problem
Conventional power management algorithms for semiconductor devices focus on short-term workloads, leading to inefficient voltage and frequency adjustments that result in wasted power consumption, particularly in applications with fluctuating long-term workloads.
Innovation Solution
A scheduler-assisted power management method that dynamically adjusts voltages and frequencies based on workload analysis and Quality of Service (QoS) rules, prioritizing real-time traffic and optimizing power usage by ramping up performance only as necessary to meet deadlines, and turning off idle cores for maximum savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional power management algorithms focus on short-term workloads, then immediate performance requirements are met, but long-term power efficiency deteriorates due to constant voltage fluctuations and overestimation of workloads
Solution Approach 1:
The scheduler performs preliminary analysis of workload characteristics and predicts future power requirements before execution. By anticipating workload patterns and pre-planning voltage adjustments, the system avoids reactive voltage fluctuations and ensures performance requirements are met while minimizing unnecessary power consumption during idle periods
Solution Approach 2:
The system implements feedback mechanisms where the scheduler continuously monitors actual workload execution and compares it with predicted patterns. This feedback loop enables dynamic adjustment of voltage management strategies, allowing the system to learn from past performance and optimize power consumption for both short-term and long-term workload scenarios
2Productivity
If voltage and frequency are ramped up to meet performance thresholds, then performance requirements are satisfied, but power consumption increases unnecessarily
Solution Approach 1:
The system dynamically adjusts voltage and frequency levels based on real-time workload analysis and predicted performance requirements. Rather than maintaining static high performance settings, the scheduler optimizes power delivery dynamically, ramping up voltage only when and where performance thresholds are actually needed, and reducing power delivery during periods of lower demand
Solution Approach 2:
The invention changes the operational parameters of power delivery by introducing predictive workload analysis and adaptive voltage scaling. The system modifies voltage and frequency parameters dynamically based on predicted performance needs, transforming the power management approach from reactive to proactive, thereby eliminating unnecessary energy loss while maintaining required productivity levels
Data Source
AI summary
There is provided a method of scheduler assisted power management for semiconductor devices. By accessing and analyzing workload data for tasks to be completed, a scheduler may provide finer grained control for determining and implementing an efficient power management policy. In this manner, tasks with completion deadlines can be allocated sufficient resources without wasteful power consumption resulting from ramping up of performance through overestimating of voltage or frequency increases. Additionally, power management may be planned for longer periods, rather than looking only at immediate data to be processed and constantly fluctuating voltage and frequency. In this manner, power management can run more smoothly and efficiently compared to conventional means of power management that ignore data from a scheduler when determining power management policy.