Dynamic Micro-architectural Reconfiguration for Workload Adaptation
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Solution Overview
Problem
Existing processor-based systems struggle to dynamically adjust micro-architectural features in response to varying workloads, leading to suboptimal performance and power consumption.
Innovation Solution
A processor-based system that includes a processing unit and a processing unit control unit, which dynamically reconfigures micro-architectural features based on signals indicative of the workload being processed, allowing for real-time adjustments to improve performance or reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the cache memory size is increased to improve cache hit rate and system performance, then the cache hit rate is improved, but the area and power consumption are increased
Solution Approach 1:
The patent applies dynamics by making the cache memory configuration changeable at runtime. The micro-architectural features including cache size, prefetching intensity, and data retrieval policies are dynamically adjusted based on detected workload characteristics, allowing the system to optimize for cache hit rate when beneficial while reducing power consumption when large caches are not needed.
Solution Approach 2:
The patent changes physical and operational parameters of the cache memory system based on workload conditions. Parameters such as cache associativity, prefetch distance, and cache enablement are modified according to detected workload patterns, allowing the system to achieve high cache hit rates when needed while conserving power during workloads that benefit less from caching.
2Productivity
If more X-ways are allocated for tracking pre-fetched data in cache, then the predictive fetching capability is improved, but the space available for data in cache is reduced
Solution Approach 1:
The patent makes the cache configuration dynamic by allowing the number of ways allocated for prefetch tracking versus data storage to be adjusted at runtime based on workload characteristics. When workloads benefit from aggressive prefetching, more ways are allocated to tracking; when data capacity is more critical, fewer ways are used for tracking and more for data storage.
Solution Approach 2:
The patent modifies the cache organizational parameters including the number of ways dedicated to prefetch tracking versus data storage based on detected workload patterns. This allows the system to optimize prefetching capability when workloads exhibit predictable access patterns while preserving cache data space when prefetching provides less benefit.
3Device complexity
If micro-architectural features are fixed at design time, then the device complexity is reduced, but the adaptability to varying workloads is worsened
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors workload characteristics and uses this information to dynamically adjust micro-architectural features. The control unit detects workload patterns and feeds this information back to modify cache configuration, prefetching behavior, and data retrieval policies, enabling adaptation without requiring complex manual reconfiguration.
Solution Approach 2:
The patent enables the processing unit to self-adjust its micro-architectural features based on detected workload conditions. The system autonomously monitors its own performance metrics and workload characteristics, then automatically reconfigures cache memory and data retrieval operations without external intervention, balancing complexity and adaptability.
Data Source
AI summary
Aspects disclosed in the detailed description include a processing unit for dynamically reconfiguring micro-architectural features of the processing unit in response to a workload being processed on the processing unit and a processing unit control unit configured to receive a plurality of signals from the processing unit. The plurality of signals are indicia of the workload being processed on the processing unit. In response, the processing unit control unit determines whether performance, power consumption, or both, of the processing unit may be improved by modifying a micro-architectural feature. In response to determining that performance or power consumption of the processing unit may be improved by modifying micro-architectural features, the processing unit control unit triggers the processing unit to modify one or more of its micro-architectural features. The processing unit, in response to being triggered by the processing unit control unit, modifies one or more of its micro-architectural features.