Dynamic Tuning of Processor Microarchitectural Features
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Solution Overview
Problem
It is challenging to tune microarchitectural features in data processing systems to achieve improved performance across a wide variety of circumstances due to their complex interactions and varying effects on different applications and data types.
Innovation Solution
A dynamic tuning unit within the processor evaluates different settings for microarchitectural features at runtime, determining preferred settings based on performance metrics and applying them dynamically, using a finite state machine to adjust settings for optimal performance across different conditions and workloads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If microarchitectural features are enabled to improve performance, then processing speed may increase for certain workloads, but performance degradation occurs for other applications and data types
Solution Approach 1:
The patent implements dynamic tuning of microarchitectural features by monitoring runtime performance metrics and automatically adjusting feature settings based on current workload characteristics. This transforms static microarchitectural configurations into dynamic, adaptive components that can switch between different operational modes to optimize performance for varying application types and data patterns.
Solution Approach 2:
The system changes operational parameters of microarchitectural features based on detected workload patterns. By monitoring performance metrics and identifying when features cause degradation, the system adjusts parameters such as feature enablement states, threshold values, and operational modes to maintain optimal performance across diverse applications.
2Productivity
If microarchitectural features are configured for optimal performance in specific circumstances, then performance improves for those circumstances, but performance degrades in other circumstances
Solution Approach 1:
The system continuously monitors runtime performance metrics and dynamically adjusts microarchitectural feature settings based on current workload characteristics. This allows the processor to adapt to varying application types, data patterns, and execution contexts, maintaining optimal performance across diverse circumstances rather than being optimized for a single scenario.
Solution Approach 2:
The patent implements feedback mechanisms that monitor performance metrics and use this information to automatically adjust microarchitectural feature settings. By creating closed-loop control systems that detect performance degradation and respond by adjusting feature configurations, the system maintains optimal performance across varying workloads without manual intervention.
3Productivity
If multiple microarchitectural features are enabled simultaneously, then overall processing capability increases, but complex interactions cause unpredictable performance variations
Solution Approach 1:
The system monitors runtime performance metrics and uses this feedback to identify when feature interactions cause degradation. By detecting negative interactions between enabled features and automatically adjusting their configurations or disablement, the system manages the complexity of feature interactions while maintaining high processing capability.
Solution Approach 2:
The system adjusts parameters of microarchitectural features based on detected workload patterns and performance metrics. By dynamically changing feature settings such as enablement states, threshold values, and operational modes, the system optimizes the combination of enabled features for current workload conditions, reducing unpredictable interactions.
Data Source
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AI summary
Disclosed is a processor with a first cache, a second cache coupled to the first cache, an arithmetic logic unit (ALU) to perform arithmetic operations, and a circuit coupled to the ALU. After the processor has executed a workload for a first execution window with a microarchitectural feature disabled and for a second execution window with the microarchitectural feature enabled, the circuit is to: determine whether the processor achieved worse performance in the second execution window, relative to the first execution window; and in response to a determination that the processor achieved the worse performance in the second execution window, update a state for an address associated with an instruction towards a bad final state, wherein when the state for the address reaches the bad final state, the processor is to disable the microarchitectural feature for the address associated with the instruction. Other embodiments are described and claimed.