Producer-Consumer Dependency Prediction for Early Instruction Execution

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Solution Overview

Problem

Existing data processing systems face inefficiencies due to complex computational dependencies between producer and consumer instructions, making it difficult to analyze and optimize the execution of consumer instructions until producer data is available.

Innovation Solution

The system identifies and stores producer-consumer relationships, determining a linear relationship between consumer values and producer data values, allowing for early execution of consumer instructions based on producer data predictions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If the system waits for producer data to be fully computed before executing consumer instructions, then execution accuracy is maintained, but processing latency increases

Engineering Contradiction:

Improveprocessing latencyVSAvoidexecution accuracy

Core Design Contradiction:

Loss of timeVSReliability

Solution Approach 1:

The system performs preliminary analysis of producer-consumer relationships to identify linear relationships before actual execution. By pre-determining that consumer values can be linearly predicted from producer data, the system enables speculative execution of consumer instructions before the producer data is fully available, thereby reducing processing latency while maintaining execution accuracy through subsequent validation

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts execution strategy based on the type of relationship between producer and consumer instructions. For linear relationships, speculative execution is enabled; for non-linear relationships, traditional synchronous execution is maintained. This dynamic adaptation allows the system to optimize for speed when safe and maintain accuracy when necessary

Inventive Principle:

Principle #15Dynamics

2Measurement precision

If the system analyzes all producer-consumer relationships in detail, then relationship detection accuracy improves, but system complexity increases

Engineering Contradiction:

Improverelationship detection accuracyVSAvoidanalysis complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the analysis process into distinct phases: relationship identification, linearity determination, and validation. By dividing the complex analysis into manageable segments, the system achieves high relationship detection accuracy without overwhelming system complexity. Each segment handles a specific aspect of the analysis, making the overall process tractable

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system extracts only the essential characteristic needed for optimization - whether a linear relationship exists between producer data and consumer values. Rather than analyzing all possible relationship properties, the system focuses specifically on linearity, which is sufficient to enable speculative execution decisions, thereby reducing analysis complexity while maintaining detection accuracy

Inventive Principle:

Principle #2Taking out (Extraction)

3Productivity

If speculative execution is enabled for consumer instructions, then processing throughput increases, but error rate increases

Engineering Contradiction:

Improveprocessing throughputVSAvoidexecution correctness

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system implements feedback mechanisms to validate speculative execution results. After speculatively executing consumer instructions based on predicted producer data, the system checks whether the actual producer data matches the predictions. If validation fails, the speculative results are discarded and correct execution is performed, thereby maintaining execution correctness while enabling throughput improvements from successful speculations

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary determination of linear relationships to identify which producer-consumer pairs are suitable for speculative execution. By pre-establishing which relationships are linear and safe for speculation, the system enables throughput improvements for identified cases while maintaining correctness through the preliminary analysis that guides which speculations are attempted

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20260064422A1Producer-consumer relationships

Publication Date: 2026.03.05 ARM LTD

AI summary

A producer-consumer relationship is stored. The producer-consumer relationship defines an association between a producer instruction and at least one consumer instruction, wherein a consumer value of the at least one consumer instruction is generated in dependence on producer data resulting from the producer instruction. A first producer-consumer pair and a second producer-consumer pair are selected from a plurality of observed instructions and a linear relationship between consumer values and producer data values is determined based on: respective consumer values of the first producer-consumer pair and the second producer-consumer pair and respective producer data values of the first producer-consumer pair and the second producer-consumer pair.