Processor Cluster Migration for Power and Performance
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Solution Overview
Problem
Conventional multi-core processors face inefficiencies in power management and processing performance, as they often require transferring processes through a predetermined core before migrating to a single core, leading to suboptimal utilization and increased power consumption.
Innovation Solution
The integration of a multi-core cluster and a single-core cluster with shared resources, where processes are dynamically migrated between the two based on utilization thresholds, allowing for power-gating and re-mapping of resources without software virtualization, enabling efficient switching between high-performance and low-power operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If processes are transferred through a predetermined core before migrating to a single core, then migration can be achieved, but processing performance is reduced and power consumption increases
Solution Approach 1:
The system segments the migration process into two distinct phases: intra-cluster transfer (within multi-core cluster) and inter-cluster migration (to single-core cluster). This segmentation eliminates the need to route all processes through a predetermined core, allowing direct migration paths that reduce latency and power consumption while maintaining migration functionality.
Solution Approach 2:
The migration architecture implements dynamic routing where the transfer path is adaptively determined based on the source core and destination cluster. Instead of a fixed predetermined core intermediary, the system dynamically selects optimal transfer paths, reducing unnecessary processing steps and improving overall migration efficiency.
2Speed
If high performance cores are used for all processes, then processing speed is improved, but power consumption increases
Solution Approach 1:
The system applies local quality by matching process requirements with appropriate core performance levels. High-performance cores in the multi-core cluster handle processes requiring high speed, while the lower-power single-core cluster handles processes with lower performance demands. This localized quality assignment optimizes the balance between processing speed and power consumption for different workloads.
Solution Approach 2:
The system dynamically changes operational parameters by monitoring core utilization and migrating processes between clusters based on performance thresholds. When high-performance cores show low utilization, processes are migrated to the single-core cluster, effectively changing the system's performance-power parameter profile to match actual workload demands.
3Loss of energy
If core utilization is monitored and processes are migrated, then power efficiency is improved, but system complexity increases
Solution Approach 1:
The migration management system implements multi-functionality by consolidating multiple responsibilities into unified components: utilization monitoring, migration decision-making, and context transfer coordination are handled by integrated management logic. This universal approach reduces the need for separate specialized components, thereby reducing overall system complexity while maintaining power efficiency benefits.
Data Source
AI summary
Embodiments of the present technology provide for migrating processes executing one any one of a plurality of cores in a multi-core cluster to a core of a separate cluster without first having to transfer the processes to a predetermined core of the multi-core cluster. Similarly, the processes may be transferred from the core of the separate cluster to the given core of the multi-core cluster.