Task Allocation for Reconfigurable Processing Systems
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Solution Overview
Problem
Reconfigurable processing systems face challenges in maximizing computational efficiency due to complex application environments and increasing task complexity, requiring improved resource utilization.
Innovation Solution
A task allocating method and system that determines the use status of hardware processing resources in reconfigurable processing systems, allocating tasks to optimize the use of task channels and operator resources, allowing multiple tasks to be processed simultaneously by controlling different operators in the reconfigurable computing array.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If one task channel controls one operator to process one task sequentially, then task processing is simple and reliable, but hardware resource utilization is low and computational efficiency is poor
Solution Approach 1:
The patent segments the reconfigurable computing array into multiple operators (e.g., ADD, SUB, MUL, DIV operators) that can be independently controlled by different task channels. This segmentation allows parallel processing of multiple tasks simultaneously, improving computational efficiency while maintaining manageable complexity through structured resource division.
Solution Approach 2:
The patent transitions from sequential one-dimensional task processing to multi-dimensional parallel processing by enabling multiple task channels to control different operators simultaneously. This dimensional expansion allows the system to process multiple tasks in parallel across different operator resources, significantly boosting computational throughput.
2Productivity
If multiple tasks are allocated to the same task channel sequentially, then resource allocation is simple, but processing time increases and productivity decreases
Solution Approach 1:
The patent ensures continuous utilization of hardware resources by allocating multiple tasks to different operators within the reconfigurable computing array simultaneously. While one operator processes Task A, another operator can process Task B, eliminating idle time and maintaining continuous productive action across the system.
Solution Approach 2:
The patent merges multiple task processing operations into a single time frame by enabling parallel execution across different operators. Tasks that would traditionally execute sequentially are merged into concurrent operations, reducing total processing time and improving throughput.
3Productivity
If the reconfigurable computing array is dedicated to single-task processing, then processing precision is high, but resource utilization rate is low
Solution Approach 1:
The patent introduces dynamic task allocation mechanisms that adaptively assign tasks to appropriate operators based on current system state and task requirements. This dynamic approach allows the system to optimize resource utilization while maintaining processing reliability through flexible yet controlled resource management.
Solution Approach 2:
The patent implements feedback mechanisms that monitor operator status and task progress, enabling intelligent reallocation of tasks to optimize resource utilization. The feedback loop ensures that processing stability is maintained while maximizing hardware resource usage through data-driven allocation decisions.
Data Source
AI summary
A task allocating method for a reconfigurable processing system is provided by the present disclosure. The method includes determining a use status of a hardware processing resource of the reconfigurable processing system. The hardware processing resource includes m task channels and a reconfigurable computing array, and one task channel controls at least one operator in the reconfigurable computing array at a time to process one task. The number m is a positive integer and allocating a first task in n tasks to be processed according to the use status of the hardware processing resource, so that at least one task channel in the m task channels controls the reconfigurable computing array to process simultaneously at least one task which includes the first task, where the number n is a positive integer. A task allocating system for a reconfigurable processing system is also provided by the present disclosure.