Instruction Decode Cluster Offlining for Power-Aware Prefetch
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Solution Overview
Problem
Conventional instruction decoders in processors utilize all decode clusters for instruction decode activity, which can lead to inefficiencies and increased power consumption without performance benefits, especially when dealing with dynamic code.
Innovation Solution
Implementing technology to dynamically offline decode clusters for prefetch activities, allowing parallel operation with active clusters, and utilizing offlined clusters for tasks like ITLB page walks, instruction cache requests, and branch prediction updates, while reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all decode clusters are utilized for instruction decode activity, then decoding capacity is maximized, but power consumption increases without performance benefits
Solution Approach 1:
The patent implements dynamic control of decode clusters by introducing an offline indicator and control logic that adjusts the operational state of decode clusters based on real-time processing needs. When prefetch activities are detected, specific decode clusters are taken offline while others continue processing instructions, creating a dynamic adaptation between power consumption and decoding capacity that resolves the contradiction between maximizing productivity and minimizing energy use.
2Use of energy by moving object
If decode clusters are taken offline for prefetch activities, then power consumption is reduced, but instruction decode capacity may be compromised
Solution Approach 1:
The patent segments the decode functionality by dividing multiple decode clusters into distinct operational groups: some clusters remain online for instruction decode activity while others are taken offline for prefetch activities. This segmentation allows independent control of each cluster's function, enabling the system to reduce power consumption by offlineing specific clusters without compromising overall instruction decode capacity, as other clusters continue to process instructions.
Solution Approach 2:
Decode clusters are designed with multi-functionality, capable of serving either instruction decode or prefetch activities depending on operational requirements. The same hardware infrastructure can be dynamically allocated to different functions through the offline indicator mechanism, allowing a single decode cluster to fulfill multiple roles at different times, thus resolving the contradiction between power savings and maintained decode capacity.
3Productivity
If multiple decode clusters operate in parallel, then processing throughput increases, but system complexity increases
Solution Approach 1:
The patent implements feedback control through control logic that monitors the state of decode clusters and adjusts their operational status based on detected conditions. The offline indicator serves as a feedback signal that communicates the operational state back to the control logic, which then makes informed decisions about cluster allocation. This feedback mechanism manages system complexity by providing automated control rather than requiring complex manual coordination of multiple parallel clusters.
Data Source
AI summary
An embodiment of an integrated circuit may comprise a core and an instruction decoder communicatively coupled to the core to decode one or more instructions for execution by the core, where the instruction decoder includes two or more decode clusters in a parallel arrangement, and circuitry to offline a decode cluster of the two or more decode clusters. Other embodiments are disclosed and claimed.