Multi-core Resource Utilization Planning via Agent-Based Testing
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Solution Overview
Problem
Multi-core processor architectures face challenges with congestion, bottlenecks, and inefficient resource utilization due to the complexity of managing multiple processors and communication channels, necessitating improved planning and analysis techniques.
Innovation Solution
A method is introduced that deploys agents on each core of a multi-core machine to perform coordinated tests, generating a utilization planning map that evaluates performance characteristics and communication between cores, allowing for informed decisions on core usage and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple processors are integrated into a single chipset to enable parallel computing and virtual machines, then processing throughput and computational capability are improved, but congestion and bottlenecks occur in processors and communication channels
Solution Approach 1:
The patent performs utilization planning and analysis before deploying workloads to the multi-core system. By conducting tests and generating utilization maps in advance, the system identifies potential congestion points and bottlenecks before they occur, allowing proactive optimization of resource allocation and communication channel usage.
Solution Approach 2:
The patent implements a feedback mechanism where utilization maps are generated from test results and used to inform subsequent resource allocation decisions. The system continuously monitors performance characteristics and communication patterns, using this feedback to dynamically adjust workload distribution and prevent congestion.
2Ease of operation
If utilization planning and analysis are performed on multi-core architectures, then resource allocation and load balancing are improved, but additional time and computational overhead are required for testing and map generation
Solution Approach 1:
The utilization planning and testing are performed in advance before the system enters production use. By generating utilization maps beforehand, the system establishes an optimized baseline configuration that can be applied immediately, avoiding the need for continuous real-time analysis during operational workloads.
Solution Approach 2:
The patent performs comprehensive testing and analysis initially to generate detailed utilization maps, accepting the upfront time investment as excessive action. This thorough preliminary analysis creates a robust foundation for efficient ongoing resource allocation, where the maps guide subsequent decisions without requiring repeated full-scale testing.
Data Source
AI summary
Techniques for multi-core resource utilization planning are provided. An agent is deployed on each core of a multi-core machine. The agents cooperate to perform one or more tests. The tests result in measurements for performance and thermal characteristics of each core and each communication fabric between the cores. The measurements are organized in a resource utilization map and the map is used to make decisions regarding core assignments for resources.