Reduce Interpolation Instructions for Channel-Wise Selection and Weighting
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Solution Overview
Problem
Existing data processing systems face inefficiencies in performing reduce interpolation operations, particularly in generating output data items from multiple input data items, as they lack dedicated instructions and apparatuses to efficiently select and weight elements from source vectors.
Innovation Solution
The introduction of dedicated reduce interpolation channel-wise and 2D selection instructions, which allow for the selection of pairs of vectors based on an interpolation vector's portions and perform weighted additions, storing results in a destination vector, enhancing processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If general-purpose processing instructions are used for reduce interpolation operations, then device complexity is reduced, but processing efficiency and productivity deteriorate
Solution Approach 1:
The patent segments the reduce interpolation operation into distinct functional components: vector selection based on interpolation vector portions, weighted addition operations, and result storage. This segmentation allows each component to be optimized independently, improving overall processing efficiency without requiring complete redesign of the entire processing system.
Solution Approach 2:
The patent introduces dynamic control mechanisms where the interpolation vector dynamically determines both the selection of source vectors and the weighting factors for combination. This dynamic approach enables flexible adaptation to different interpolation requirements while maintaining efficient processing through dedicated circuitry that responds to control signals.
2Productivity
If multiple interpolation operations are performed sequentially, then device complexity is reduced, but processing time and productivity deteriorate
Solution Approach 1:
The patent merges multiple interpolation operations into a unified processing pipeline that handles multiple operations simultaneously. By combining vector selection, weighted addition, and result storage into integrated circuitry, the system achieves parallel processing of multiple interpolation operations, significantly reducing total computational time and improving throughput.
Solution Approach 2:
The patent ensures continuous processing by maintaining active control signals that continuously guide the selection and combination operations. The interpolation vector continuously provides control information, enabling uninterrupted flow of data through the processing pipeline and eliminating idle time between operations.
3Manufacturing precision
If detailed control over selection and weighting is implemented, then manufacturing precision and measurement precision are improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary control signal generation mechanism that translates high-level interpolation requirements into specific selection and weighting control signals. This intermediary layer simplifies the control logic by providing standardized control signals that directly drive the selection and combination operations, reducing overall system complexity while maintaining precise control.
Data Source
AI summary
Apparatuses, methods, and non-transitory computer-readable media are disclosed. One example concerns a reduce interpolation channel-wise instruction to trigger a reduce interpolation channel-wise operation. The reduce interpolation channel-wise operation comprises: selecting a pair of vectors from a range of source vectors in dependence on a first portion of each element of an interpolation vector; a weighted addition of that element from the pair of vectors, wherein a weighting of the weighted addition is dependent on a second portion of that element of the interpolation vector; and storing a result of the weighted addition in that element of a destination vector. Another example concerns a 2D selection instruction to trigger a 2D selection operation comprising, for each vector element: selecting a selected vector from a range of source vectors, wherein the selected vector is selected in dependence on an element value of that element of an index vector; and copying that element from the selected vector of the range of source vectors to that element of a destination vector.