Hardware Task Switching for Multi-Core Processor Throughput
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Solution Overview
Problem
Existing multi-core processing systems face challenges in efficiently updating and managing processing tasks across multiple cores, leading to suboptimal throughput and resource allocation, particularly under varying processing loads and the need for frequent dynamic updates.
Innovation Solution
A hardware logic-based controller allocates and assigns processing cores among software programs, using multiplexers to efficiently transfer task memory images and facilitate inter-task communication, thereby optimizing resource allocation and maximizing throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional operating system functions are used to manage task switching and inter-task communication in multi-core processors, then system reliability is maintained, but data processing throughput is reduced and overhead increases
Solution Approach 1:
The patent extracts the task switching and inter-task communication management functions from the traditional operating system software layer and implements them directly in hardware logic. This extraction eliminates the software overhead and context switching delays, allowing tasks to be switched and communicated between cores without the performance penalty of traditional OS intervention, thereby improving data processing throughput while reducing time loss.
Solution Approach 2:
The patent introduces a hardware-based task management intermediary that sits between the processing cores and memory, providing efficient task context transfer and inter-task communication pathways. This intermediary hardware structure enables direct task switching and communication without requiring traditional OS software mediation, thus maintaining system reliability while significantly reducing overhead and improving throughput.
2Productivity
If the number of cores and processing applications increases, then processing capacity is improved, but the complexity of inter-core and inter-task information exchange networks increases
Solution Approach 1:
The patent implements a universal hardware task management structure that can handle task switching and inter-task communication for any number of cores and applications through a single standardized interface. This multi-functional hardware design allows the system to scale processing capacity by adding more cores without proportionally increasing network complexity, as the same hardware mechanisms serve all cores uniformly.
Solution Approach 2:
The patent segments the task management functionality into distinct hardware components including task context storage, task switching logic, and inter-task communication pathways. This segmentation allows each component to be independently optimized and reused across multiple cores, reducing the overall network complexity that would otherwise result from scaling the number of cores and applications.
3Productivity
If dynamic updates of processing tasks are performed frequently to maximize throughput, then productivity is improved, but the complexity of task allocation and memory management increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring hardware structures for task context storage and transfer before dynamic task updates are needed. Task contexts are pre-loaded into hardware registers and memory structures, and task switching pathways are pre-established, allowing frequent dynamic updates to occur without requiring complex real-time allocation decisions. This pre-positioning of task information enables high-speed task switching that improves throughput without increasing allocation complexity.
Solution Approach 2:
The patent enables self-service by implementing hardware-based task allocation and memory management that automatically handles dynamic task updates without requiring complex external control. The hardware logic autonomously manages task context transfer, core assignment, and memory allocation based on simple input signals, allowing frequent throughput-optimizing updates while keeping the control mechanism simple and avoiding complexity escalation.
Data Source
AI summary
The invention provides hardware based techniques for switching processing tasks of software programs for execution on a multi-core processor. Invented techniques involve a hardware logic based controller for assigning, adaptive to program processing loads, tasks for processing by cores of a multi-core fabric as well as configuring a set of multiplexers to appropriately interconnect cores of the fabric and program task specific segments at fabric memories, to arrange efficient inter-task communication as well as transferring of activating and de-activating task memory images among the multi-core fabric. The invention thereby provides an efficient, hardware-automated runtime operating system for multi-core processors, minimizing any need to use processing capacity of the cores for traditional operating system software functions. Additionally, such low overhead hardware based operating system for multi-core processors provides significant cost-efficiency and performance advantages, including data processing throughput maximization across all programs dynamically sharing a given multi-core processor, and hardware based security.