Instruction Fusion Circuitry for Automatic Vectorization

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Solution Overview

Problem

Existing vector processing technologies face challenges in efficiently utilizing vector instructions due to complex control flow and lack of compiler support, leading to poorly vectorized code and underutilization of hardware resources, as developers struggle to recompile and modify applications to take advantage of vector processing units.

Innovation Solution

The implementation of instruction fusion technology, which automatically fuses independent arithmetic instructions in a reservation station into vector instructions, compacting operands into larger registers and enabling execution on vector processing units, thereby reducing the number of instructions and enhancing performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If developers manually recode applications to utilize vector processing units, then vectorization performance can be improved, but development complexity and recompilation requirements increase significantly

Engineering Contradiction:
Improvevectorization performanceVSAvoidsoftware modification complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs automatic instruction fusion and vectorization without requiring developer intervention. The processor autonomously analyzes instructions in the reservation station, identifies candidates for fusion, and transforms scalar instructions into vector instructions, making the vectorization process self-service rather than requiring manual recoding by developers

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The instruction fusion circuitry performs preliminary analysis and transformation of instructions before they reach the execution stage. By pre-fusing instructions in the reservation station, the system prepares vectorized code in advance, eliminating the need for developers to manually optimize code structure

Inventive Principle:
Principle #10Preliminary action

2Productivity

If compilers automatically vectorize instructions, then hardware utilization improves, but control flow complexity and compiler requirements become more demanding

Engineering Contradiction:
Improvehardware utilizationVSAvoidcontrol flow complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent extracts the vectorization function from the compiler and implements it directly in the processor hardware. The instruction fusion circuitry in the reservation station performs vectorization locally, separating the vectorization task from complex compiler control flow analysis and moving it to a dedicated hardware component

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The reservation station acts as an intermediary between instruction fetch and execution. It provides a buffer where instructions are held and analyzed, allowing the instruction fusion circuitry to examine and transform instructions before execution without requiring complex compiler-level control flow management

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If multiple independent arithmetic instructions are executed separately, then instruction independence is maintained, but execution time and instruction count increase

Engineering Contradiction:
Improveinstruction independenceVSAvoidexecution time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The instruction fusion circuitry merges multiple independent arithmetic instructions into a single vector instruction. By combining operations that were previously executed separately into one fused instruction, the system reduces total instruction count and execution time while maintaining the independence and correctness of each original operation through proper register compaction

Inventive Principle:
Principle #5Merging (Combining)

4Adaptability or versatility

If scalar instructions are used for arithmetic operations, then compatibility with existing code is maintained, but vector processing capability is underutilized

Engineering Contradiction:
Improvecode compatibilityVSAvoidvector processing utilization
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The system dynamically adapts the instruction format based on what is available in the reservation station. When independent arithmetic instructions are present, it automatically fuses them into vector instructions; when not available, it executes them as scalar instructions. This dynamic behavior allows the same hardware to handle both legacy scalar code and optimized vector code without requiring source code modification

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20230418612A1Automatic fusion of arithmetic in-flight instructions
Publication Date: 2023.12.28 INTEL CORP
  • US20230418612A1 patent drawing
  • US20230418612A1 patent drawing
  • US20230418612A1 patent drawing

AI summary

Techniques for automatic fusion of arithmetic in-flight instructions are described. An example apparatus comprises a buffer to store instructions to be issued to a functional unit for execution, and circuitry coupled to the buffer to combine two or more instructions from the buffer into a single combined instruction. Other examples are disclosed and claimed.