Partitionable Multi-Processor System Controller for Dynamic Power and Clock Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current computing systems lack flexibility in configuring and utilizing resources, as each computing node operates independently and virtualization does not alter the underlying operation, limiting the ability to dynamically allocate and manage resources across nodes.
Innovation Solution
A partitionable multi-processor system with a system controller that can selectively control power, clock, and reset signals to form either independent or unified nodes, managed by a baseboard management controller that provides partitioning mode instructions, allowing for dynamic resource allocation and operation as a single unified or multiple independent nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computing nodes operate independently with separate system management, then each node maintains operational autonomy and reliability, but the system lacks flexibility in resource allocation and configuration across nodes
Solution Approach 1:
The system is segmented into multiple partitionable nodes that can be independently managed or combined. Each node contains separate computing resources (CPUs, memory, I/O devices) that can be divided and allocated independently, allowing flexible configuration while maintaining operational autonomy through the system controller's ability to manage partitions separately
Solution Approach 2:
The system implements dynamic configurability where nodes can transition between independent operation and unified operation modes. The system controller dynamically adjusts resource allocation, power management, and operational parameters based on workload requirements, enabling the system to adapt its structure and resource distribution in real-time
2Productivity
If virtualization is used to share hardware resources, then multiple environments can operate on the same computing node, but the underlying operation of the computing node remains unchanged and resources cannot be dynamically reallocated
Solution Approach 1:
The system implements dynamic resource allocation through the system controller that can reallocate computing resources between nodes based on workload demands. Resources are not statically bound but can be dynamically assigned, expanded, or contracted through the unified interface, enabling efficient resource utilization while maintaining operational flexibility
Solution Approach 2:
The system controller provides universal management capabilities that can handle multiple operating modes (independent node operation, unified operation, partitioned operation) through a single interface. This multi-functional approach allows the same hardware infrastructure to serve different computational needs without requiring dedicated management systems for each mode
3Productivity
If nodes are combined into a unified system, then resource sharing and collaboration improve, but the ability to independently manage and control individual nodes is reduced
Solution Approach 1:
The unified system maintains segmentable partitions that can be independently managed when needed. The system controller can isolate and control individual nodes or groups of nodes separately while they remain part of the unified system, allowing granular management of specific resources or nodes without affecting the entire system
Solution Approach 2:
The system dynamically adjusts its management structure based on operational requirements. Individual nodes can be managed independently or as part of a unified group depending on the workload and control needs. The system controller provides flexible management interfaces that adapt to whether users need to manage specific nodes or the entire system collectively
Data Source
AI summary
A partitionable multi-processor system includes a first plurality of components of the multi-processor system forming a first partitioned node that is operable as a first independent node, a second plurality of components of the multi-processor system forming a second partitioned node that is operable as a second independent node and a system controller that is configured to selectively and independently control separate power, clock, and/or reset signals to the first plurality of components forming the first partitioned node and the second plurality of components forming the second partitioned node in response to receiving a first partitioning mode instruction from a baseboard management controller (BMC) that identifies a partitioned state and configured to selectively control the separate power, clock, and/or reset signals to the first and second pluralities of components in a unified manner in response to receiving a second partitioning mode instruction from the BMC that identifies a unified state.


