Vector Reduce Instruction for Operand Field Optimization
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Solution Overview
Problem
Current computing environments face inefficiencies in processing instructions, particularly in optimizing data within fields of operands, which hinders further processing and increases the number of instructions required.
Innovation Solution
A computer program product that includes a method to execute a vector reduce instruction, which selects a field from a source operand, performs an operation on its bits, and reduces the data to a smaller set of bits, optimizing data representation and facilitating further processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data within fields of operands is not reduced, then more detailed information is preserved, but processing efficiency decreases and more instructions are required
Solution Approach 1:
The patent extracts only the necessary information from the original data by performing reduction operations on selected fields of source operands. The vector reduce instruction selectively processes specific fields and extracts essential results, discarding redundant data while preserving critical information needed for subsequent processing.
Solution Approach 2:
Instead of processing all data in full detail through multiple instructions, the patent inverts the approach by first reducing data to essential components and then processing those condensed results. This inversion from detailed-to-coarse processing improves efficiency while maintaining necessary information through the compute-through-put model.
2Loss of time
If data size is not reduced, then more complete information is available, but memory access time increases
Solution Approach 1:
The vector reduce instruction extracts essential information from larger data structures by processing selected fields and producing condensed results. This extraction reduces the amount of data that needs to be retained in memory, thereby reducing memory access time while preserving the completeness of information necessary for subsequent operations.
3Productivity
If more instructions are used to process data, then more operations can be performed, but processing complexity increases
Solution Approach 1:
The patent merges multiple processing operations into a single vector reduce instruction that can handle field selection, data extraction, and reduction operations in one unified instruction. This combining of functions reduces instruction complexity while maintaining the ability to perform multiple operations through the compute-through-put model, where reduced data requires fewer subsequent instructions.
Data Source
AI summary
An instruction that includes an operation code indicating a reduce instruction is obtained and executed within a computing environment. The executing includes selecting a field of a source operand stored in a source location. The source location is designated using the instruction and the field includes a plurality of bits. An operation is performed on the plurality of bits of the field to obtain a result. The result reduces the plurality of bits to a set of bits. The set of bits includes one or more bits and has fewer bits than the plurality of bits. The result is placed in a target location specified using the instruction.