Single-Pass Image Frame CRC Validation With SIMD Parallelism
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Solution Overview
Problem
Conventional processing systems face significant mismatches in processing speed and data transfer speed, leading to reduced system performance and inability to handle complex computational processes like image processing or graphics processing efficiently.
Innovation Solution
A computer architecture that enables parallel processing of image frame and line data using SIMD parallelism, allowing for the generation of error correction codes like CRC in a single pass, utilizing a system-on-chip (SoC) with multiple processing components to perform logical and bit operations across multiple rows of a frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional processing systems are used to handle image data, then processing can be performed with standard components, but processing speed and data transfer speed mismatch reduces system performance and prevents efficient handling of complex computational processes
Solution Approach 1:
The patent segments the image frame into multiple rows and processes each row independently through parallel CRC validation. Each row's encoding is validated separately while maintaining overall frame integrity, allowing high-speed parallel processing without compromising error correction reliability.
Solution Approach 2:
The patent performs preliminary action by appending CRC encoding bits to each row of the image frame before parallel processing. This pre-computation of error correction codes enables rapid validation during parallel processing while maintaining data integrity throughout the high-speed computational pipeline.
2Productivity
If parallel processing is implemented to increase processing speed, then computational throughput improves, but system complexity increases requiring specialized architectures like SIMD
Solution Approach 1:
The patent merges multiple processing operations into a unified parallel processing framework where row encoding, CRC validation, and frame assembly are combined into a single coordinated process. This integration achieves high computational throughput while managing architecture complexity through consolidated processing logic.
Solution Approach 2:
The patent implements multi-functionality by designing a processing system that simultaneously performs encoding validation, error detection, and frame reconstruction through parallel operations. The same processing infrastructure handles multiple tasks (validation, correction, assembly) that would otherwise require separate dedicated systems.
3Reliability
If multiple processing passes are used to ensure data validation accuracy, then error detection reliability improves, but processing time increases reducing overall system performance
Solution Approach 1:
The patent maintains continuity of useful action by performing CRC validation continuously during the parallel processing of each row, rather than requiring separate validation passes. The error correction operation proceeds uninterrupted through the data pipeline, achieving both high accuracy and low latency through continuous single-pass processing.
Solution Approach 2:
The patent applies preliminary action by pre-computing and appending CRC encoding bits to each row before the main processing operation. This preliminary error correction setup enables immediate validation during parallel processing without requiring subsequent correction passes, reducing processing delay while maintaining validation accuracy.
Data Source
AI summary
Aspects of this technical solution can increase processing speed in low-latency application areas, while maintaining integrity of error correction detection at those higher speeds. For example, in image-processing environments associated with autonomous navigation (e.g., driving), a large volume of image data is to be rapidly and accurately processed to maintain reliable and up-to-date models of a physical environment. Thus, embodiments in accordance with this disclosure can provide high-speed and accurate error correction of input frame data beyond the capability of CPU processing or general GPU processing to achieve.