Dynamic Capacitance Code Scheduling for Power Management
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Solution Overview
Problem
The increasing power requirements and dynamic switching capacitance in multicore processors lead to inefficiencies in power management, resulting in high thermal design power specifications, increased device size, and costs, as well as significant energy consumption in computing systems.
Innovation Solution
A pre-emptive power management technique that dynamically schedules code execution based on estimated dynamic capacitance values, allowing for fine-grained control of voltage and frequency across individual cores, using integrated voltage regulators and a power control unit to prevent power excursions and optimize power efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If TDP specification is set close to or at the highest end of power consumption to satisfy rare but possible excursions, then power delivery capability is improved, but overall system cost and product thickness increase
Solution Approach 1:
The system performs preliminary analysis of the instruction sequence to predict future dynamic capacitance values before execution. The power management logic proactively identifies instructions that will cause excessive power consumption and reschedules them to occur after idle instructions, preventing power excursions before they happen. This eliminates the need for oversized power delivery infrastructure designed for rare peak conditions.
Solution Approach 2:
The system dynamically changes the execution timing parameter of instructions based on predicted power consumption characteristics. By modifying when instructions are executed (rescheduling to follow idle instructions), the system transforms the power consumption profile to avoid peaks while maintaining the same computational workload, thereby reducing required power delivery capability.
2Power
If TDP specification is set close to or at the highest end of power consumption to satisfy rare but possible excursions, then power delivery capability is improved, but product thickness increases
Solution Approach 1:
The system performs preliminary analysis of the instruction sequence to predict future dynamic capacitance values before execution. The power management logic proactively identifies instructions that will cause excessive power consumption and reschedules them to occur after idle instructions, preventing power excursions before they happen. This eliminates the need for oversized power delivery infrastructure designed for rare peak conditions.
Solution Approach 2:
The system dynamically changes the execution timing parameter of instructions based on predicted power consumption characteristics. By modifying when instructions are executed (rescheduling to follow idle instructions), the system transforms the power consumption profile to avoid peaks while maintaining the same computational workload, thereby reducing required power delivery capability.
3Speed
If power delivery network specifications require even shorter time response to satisfy maximum current requirements, then power response time is improved, but device size and component cost increase
Solution Approach 1:
The system performs preliminary analysis of the instruction sequence to predict future dynamic capacitance values before execution. The power management logic proactively identifies instructions that will cause excessive power consumption and reschedules them to occur after idle instructions, preventing power excursions before they happen. This eliminates the need for oversized power delivery infrastructure designed for rare peak conditions.
Solution Approach 2:
The system inserts idle instructions (no-operations) into the execution schedule to create intentional power consumption valleys. These idle periods, which could be seen as wasted computational resources, are strategically placed to precede high-power instructions, serving as a beneficial buffer that reduces peak power demands and allows use of smaller, less expensive power delivery components.
4Productivity
If code is executed without dynamic capacitance analysis, then execution speed is improved, but power excursions occur
Solution Approach 1:
The system performs preliminary analysis of the instruction sequence to predict future dynamic capacitance values before execution. The power management logic proactively identifies instructions that will cause excessive power consumption and reschedules them to occur after idle instructions, preventing power excursions before they happen. This eliminates the need for oversized power delivery infrastructure designed for rare peak conditions.
Solution Approach 2:
The system continuously monitors actual power consumption against predicted values and uses this feedback to refine future predictions. The power management logic adjusts the scheduling decisions based on observed deviations between predicted and actual dynamic capacitance, improving the accuracy of power-aware scheduling over time while maintaining execution efficiency.
Data Source
AI summary
In an embodiment, a processor includes a schedule logic to schedule a set of instructions for execution in an execution logic of the processor and a power analysis logic having a first calculation logic to calculate a maximum dynamic capacitance for at least a portion of the processor and a second calculation logic to calculate a dynamic capacitance estimate for execution of the set of instructions. A rescheduling of the set of instructions may occur based on a comparison of the dynamic capacitance estimate and the maximum dynamic capacitance. Other embodiments are described and claimed.