Compiler Hints for Proactive Processor Power Management
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Solution Overview
Problem
Current energy management approaches in processors are reactive, leading to inefficiencies when applications transition between phases with different energy consumption characteristics, as they rely on observing past energy consumption to predict optimal future states.
Innovation Solution
Implementing a compiler that analyzes code to determine energy consumption characteristics and inserts compiler hints to guide the processor in setting optimal energy management configurations, such as clock gating and power states, ahead of time to match the needs of different application phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If reactive DVFS techniques are used to manage energy consumption, then energy efficiency can be improved based on observed characteristics, but performance responsiveness deteriorates when applications transition between phases with different energy consumption characteristics
Solution Approach 1:
The compiler performs preliminary analysis of application code to identify different operational phases and their energy consumption characteristics before execution. Compiler hints are inserted into the code to provide advance information about upcoming phase transitions, enabling the power management hardware to proactively adjust energy settings before the transitions occur, thus avoiding the lag inherent in reactive approaches
Solution Approach 2:
Compiler hints serve as an intermediary mechanism that bridges the application code and the power management hardware. These hints carry information about energy consumption characteristics and phase transitions from the compiler to the hardware, enabling the hardware to make informed energy management decisions without directly analyzing application behavior in real-time
2Use of energy by moving object
If compiler hints are inserted to guide optimal energy management configurations, then energy efficiency and performance per watt improve, but device complexity increases
Solution Approach 1:
The solution segments the energy management task into distinct components: (1) compiler-phase analysis and hint generation, (2) hint instruction execution, and (3) hardware configuration adjustment. This segmentation allows each component to be optimized independently and simplifies the overall system architecture by distributing functionality across different layers
Solution Approach 2:
The power management hardware is designed to autonomously interpret and act on compiler hints without requiring complex external control logic. The hardware self-adjusts energy management configurations based on the information provided in the hints, reducing the need for complex software-firmware-hardware interaction protocols
Data Source
AI summary
Systems, methods, devices, and computer-implemented instructions for processor power management implemented in a compiler. In some implementations, a characteristic of code is determined. An instruction based on the determined characteristic is inserted into the code. The code and inserted instruction are compiled to generate compiled code. The compiled code is output.


