Instruction Reordering and Register Renaming for Parallel Execution
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Solution Overview
Problem
Existing instruction processing systems fail to optimize the use of available registers, leading to inefficiencies in execution time due to underutilization of processor resources.
Innovation Solution
The system employs a code generator that unrolls loops, reorders instructions, and renames registers to maximize parallel execution, leveraging the full capacity of processor registers and memory bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional instruction processing is used, then register usage is simple and direct, but execution efficiency is low due to underutilization of processor resources
Solution Approach 1:
The patent segments instructions into micro-operations that can be processed independently, allowing the code generator to create multiple parallel load operations and processing operations that execute simultaneously, thereby improving execution efficiency while managing complexity through structured breakdown
Solution Approach 2:
The code generator performs preliminary actions by unrolling loops and reordering instructions before execution, preparing multiple operations to be executed in parallel. This preliminary transformation of the instruction sequence enables the processor to utilize registers and memory bandwidth more effectively, resolving the contradiction between simplicity and efficiency
2Productivity
If more registers are made available, then parallel execution capacity increases, but register allocation complexity increases
Solution Approach 1:
The patent changes the parameter of register allocation by using a code generator that dynamically assigns registers based on the unrolled and reordered instruction sequence. This allows the system to leverage the full capacity of available registers for parallel execution while managing allocation complexity through automated code generation rather than manual assignment
3Loss of time
If instructions are executed sequentially, then execution is simple and predictable, but execution time increases due to lack of parallelism
Solution Approach 1:
The code generator performs preliminary reordering of instructions to optimize for parallel execution. By analyzing the instruction sequence beforehand and rearranging operations to maximize parallelism, the system reduces execution latency while containing reordering complexity within the code generation phase rather than during execution
Solution Approach 2:
The patent segments the instruction execution into independent micro-operations that can be executed in parallel. This segmentation allows multiple load and processing operations to occur simultaneously, dramatically reducing execution time while managing complexity through the structured micro-operation format
Data Source
AI summary
A system is disclosed. The system may include a processor including a register and a code memory. A reordering component may reorder a first instruction and a second instruction in a set of instructions of a first type in a list of code stored in the code memory, at least one of the first instruction and the second instruction accessing the register.