SSD Instruction Vector Processing for Computing Performance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for performing sum of square differences (SSD) calculations in computer applications require multiple discrete instructions, leading to significant programming effort, resource consumption, and reduced performance.
Innovation Solution
An instruction set architecture (ISA) is introduced that includes a single SSD instruction capable of generating multiple SSD values as a vector, allowing for faster and more efficient processing by encoding offset values, thereby simplifying programming and improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If multiple discrete instructions are used for SSD calculations, then the calculations can be performed using conventional processing methods, but the programming effort and device complexity increase significantly
Solution Approach 1:
The patent combines multiple discrete instructions required for conventional SSD calculations into a single dedicated SSD instruction. This single instruction performs the entire sum of square differences calculation operation, eliminating the need for sequential execution of multiple instructions and thereby reducing programming effort while maintaining computational functionality
Solution Approach 2:
The SSD instruction is designed as a universal operation that can handle various SSD calculation scenarios through encoded parameters within the instruction itself. The instruction accommodates different offset values and calculation configurations without requiring separate instructions for each case, reducing overall instruction sequence complexity
2Productivity
If multiple discrete instructions are used for SSD calculations, then conventional processors can execute the operations, but the resource consumption and execution time increase
Solution Approach 1:
By merging multiple discrete instructions into a single SSD instruction, the patent enables the processor to execute the entire SSD calculation as one atomic operation. This reduces the overhead associated with instruction fetching, decoding, and execution multiple times, thereby decreasing execution time and improving computing performance
Solution Approach 2:
The SSD instruction is designed with pre-encoded offset values and calculation parameters embedded within the instruction structure. This preliminary encoding of operational parameters allows the processor to execute the calculation immediately without requiring additional setup or configuration instructions, reducing execution time
3Ease of operation
If conventional techniques are used for SSD computations, then existing processors can handle the operations, but the programming complexity and resource consumption increase
Solution Approach 1:
The patent simplifies programming by combining multiple operational steps into a single SSD instruction that can be implemented with one line of code. This merging eliminates the need for programmers to manually sequence multiple instructions, reducing programming complexity while the efficient single-instruction execution reduces processor resource consumption and energy usage
Data Source
AI summary
In an embodiment, a processor includes: a fetch circuit to fetch instructions, the instructions including a sum of squared differences (SSD) instruction; a decode circuit to decode the SSD instruction; and an execution circuit to, during an execution of the decoded SSD instruction, generate an SSD output vector based on a plurality of input vectors, the SSD output vector including a plurality of squared differences values. Other embodiments are described and claimed.