Vector Index Load and Store Logic for Register Spilling
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Solution Overview
Problem
Current processor architectures face inefficiencies in handling vector index operations due to the need for separate general-purpose registers for each memory index, leading to register spilling and inefficient code generation, especially in high-performance computing scenarios where many memory references share the same base but have different indices.
Innovation Solution
The introduction of vector index load and store instructions that utilize SIMD vector registers for index computations, eliminating the need for general-purpose register spilling and enabling more compact and efficient code by performing all index calculations within vector registers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If separate general-purpose registers are used for each memory index, then memory indexing can be performed, but register spilling occurs and code becomes inefficient
Solution Approach 1:
The patent combines multiple index values into a single SIMD vector register, allowing multiple memory indices to be handled simultaneously. This merging approach eliminates the need for separate general-purpose registers for each index, reducing register spilling and management complexity while improving memory operation efficiency through vectorized parallel processing
Solution Approach 2:
The SIMD vector register is used for multiple purposes: storing index values, performing index calculations, and providing indices for memory operations. This multi-functional use of a single register type eliminates the need for dedicated general-purpose registers for indexing, reducing overall register pressure and spilling
2Ease of manufacture
If general-purpose registers are used for index computations, then indexing operations can be performed, but code generation becomes inefficient and bloated
Solution Approach 1:
The patent replaces scalar general-purpose register operations with vectorized SIMD operations for index computations. This substitution enables parallel processing of multiple indices simultaneously, reducing both the number of instructions needed and the execution time, while generating more compact and efficient code
3Productivity
If vector registers are used for SIMD operations, then vector processing efficiency is improved, but available registers for index computations are reduced
Solution Approach 1:
The patent makes SIMD vector registers multi-functional by using them both for their primary vector processing purpose and for storing and computing memory indices. This eliminates the need for separate general-purpose registers for indexing, ensuring that SIMD registers are fully utilized while providing all necessary index management capabilities
Data Source
Figure 1A
Figure 1B
Figure 2A~2C
AI summary
An apparatus and method for performing vector index loads and stores. For example, one embodiment of a processor comprises: a vector index register to store a plurality of index values; a mask register to store a plurality of mask bits; a vector register to store a plurality of vector data elements loaded from memory; and vector index load logic to identify an index stored in the vector index register to be used for a load operation using an immediate value and to responsively combine the index with a base memory address to determine a memory address for the load operation, the vector index load logic to load vector data elements from the memory address to the vector register in accordance with the plurality of mask bits.