Processor Instruction Execution Synchronization via Iterative Geometric Progression
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Solution Overview
Problem
In safety-critical and mission-critical applications, synchronizing multiple processors to ensure reliable and consistent instruction execution is challenging, as discrepancies in operation timing can lead to unreliable results.
Innovation Solution
A method and system where processors iteratively execute instructions in a geometric progression, reducing the number of instructions in each iteration, and determining the total number executed within a predetermined time period, ensuring synchronization and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If processors execute instructions in a synchronous manner to ensure reliable results, then reliability is improved, but device complexity increases due to the need for precise timing control and coordination mechanisms
Solution Approach 1:
The patent segments the instruction execution process into multiple iterations, where each iteration executes a controlled number of instructions. This segmentation allows the system to maintain synchronization across processors while breaking down the complex timing control into manageable discrete steps, thereby improving reliability without proportionally increasing overall system complexity
Solution Approach 2:
The patent implements periodic action by having processors execute instructions in repeated iterations with predetermined time periods. Each iteration follows a structured pattern of executing a specific number of instructions, then checking timing constraints. This periodic structure enables reliable synchronous operation while using simple, repeating control logic rather than complex continuous coordination mechanisms
2Reliability
If processors execute a fixed number of instructions within a specific time period to maintain synchronization, then reliability is improved, but productivity decreases due to the constraints on instruction execution flexibility
Solution Approach 1:
The patent applies dynamics by making the number of instructions executed in each iteration dependent on the iteration number, following a geometric progression pattern. This dynamic adjustment allows the system to maintain synchronization constraints while optimizing instruction throughput - executing more instructions in early iterations when time is abundant, and fewer instructions in later iterations as the time period progresses, thereby balancing reliability and productivity
Solution Approach 2:
The patent changes the parameter of instruction count dynamically based on the iteration number and time remaining in the predetermined period. By adjusting this parameter according to a geometric progression formula, the system maintains synchronization accuracy while maximizing overall instruction execution productivity within the time constraints
3Reliability
If processors monitor and control the number of instructions executed in each iteration to ensure synchronization, then reliability is improved, but device complexity increases due to additional monitoring and control mechanisms
Solution Approach 1:
The patent implements feedback by having each processor monitor its own instruction execution count and compare it against the expected count for the current iteration. This self-feedback mechanism ensures synchronization reliability without requiring complex inter-processor monitoring infrastructure, as each processor independently verifies its own execution progress against the predetermined geometric progression schedule
Data Source
AI summary
A system and method for controlling processor instruction execution. In one example, a method for controlling a total number of instructions executed by a processor includes instructing the processor to iteratively execute instructions via multiple iterations until a predetermined time period has elapsed. A number of instructions executed in each iteration of the iterations is less than a number of instructions executed in a prior iteration of the iterations. The method also includes determining the total number of instructions executed during the predetermined time period.