SIMD Array Rotation via Row Interleaving
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Solution Overview
Problem
Traditional methods for rotating a 2N by 2N array by 90° are costly in terms of processor and memory resources, requiring 2N^2 load and store operations, which is inefficient compared to the proposed method.
Innovation Solution
The method involves loading elements into a processor's SIMD unit, interleaving rows from the top and bottom halves of the array, and then converting the resulting single row into a 2N by 2N array, reducing the number of operations to N + N(log2(N)) + 2, making it more efficient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional brute force copying method is used to rotate array, then rotation function is achieved, but processor and memory resources are excessively consumed
Solution Approach 1:
The array is divided into quadrants (top-left, top-right, bottom-left, bottom-right) that are rotated and repositioned as units. This segmentation allows the rotation to be performed by moving blocks of data rather than individual elements, significantly reducing the number of memory operations required.
Solution Approach 2:
Multiple data transfer operations are merged into fewer operations by using the SIMD unit to process multiple array elements simultaneously. The interleaving operation combines elements from different quadrants in a single computational pass, reducing the total number of load and store operations.
2Productivity
If traditional element-by-element copying is used, then array rotation is completed, but the number of operations is excessively high (2N^2 operations)
Solution Approach 1:
The traditional mechanical approach of individually copying each array element is replaced by using SIMD (Single Instruction Multiple Data) parallel processing. This allows multiple elements to be loaded, interleaved, and stored simultaneously, reducing the operation count from O(N^2) to O(N^2/word_size) where word_size is the number of elements processed in parallel.
Solution Approach 2:
The problem is solved by introducing the dimension of parallel processing through SIMD registers. Instead of sequentially processing elements in one dimension, the solution processes multiple elements simultaneously across multiple data lanes, effectively adding a parallelism dimension to the operation.
Data Source
AI summary
A method and system to rotate a 2N by 2N array are described. Consistent with one embodiment of the present invention, the 2N elements of the 2N rows of a 2N by 2N array are loaded from memory into the vector registers of a processor's single instruction multiple data (SIMD) unit. Next, the elements of the rows in the top half of the array are interleaved with corresponding elements from a corresponding row in the bottom half of the array. The loading and interleaving operations are repeated N times before the results, stored in the vector registers, are written back to memory.


