2D Tile-to-1D Vector Move Instructions for Matrix Processing
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Solution Overview
Problem
Existing computer processors face difficulties in efficiently handling and performing matrix operations, particularly with larger matrices, due to the complexity and instruction intensity involved in moving elements between 2-dimensional matrices and 1-dimensional vector registers.
Innovation Solution
The implementation of tile-based operations, where matrices are divided into smaller 2-dimensional data structures called tiles, which are operated on using specialized instructions such as TileMoveTo1D and TileMoveFrom1D, allowing for efficient handling and manipulation of matrices in computer hardware like CPUs and GPUs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If matrices are processed using traditional methods without tile-based operations, then the processing of large matrices requires complex and instruction-intensive operations, but the throughput and efficiency of matrix operations remain limited
Solution Approach 1:
The patent divides large matrices into smaller 2D tile structures that can be efficiently manipulated. By segmenting the matrix data into tiles, the system can process multiple elements simultaneously using vectorized operations, reducing the overall instruction complexity while increasing throughput for large matrix operations
2Loss of time
If direct move instructions are used between 2D matrices and 1D vector registers, then the conversion efficiency improves, but the hardware complexity increases due to specialized instruction support requirements
Solution Approach 1:
The patent implements move instructions that can operate between 2D tiles and 1D vector registers using a unified hardware structure. The same execution units that handle traditional vector operations are extended to support tile-to-vector conversions, avoiding the need for completely separate specialized hardware while still achieving fast conversion through optimized instruction sequences
Data Source
AI summary
Disclosed embodiments relate to systems for performing instructions to quickly convert and use matrices (tiles) as one-dimensional vectors. In one example, a processor includes fetch circuitry to fetch an instruction having fields to specify an opcode, locations of a two-dimensional (2D) matrix and a one-dimensional (1D) vector, and a group of elements comprising one of a row, part of a row, multiple rows, a column, part of a column, multiple columns, and a rectangular sub-tile of the specified 2D matrix, and wherein the opcode is to indicate a move of the specified group between the 2D matrix and the 1D vector, decode circuitry to decode the fetched instruction; and execution circuitry, responsive to the decoded instruction, when the opcode specifies a move from 1D, to move contents of the specified 1D vector to the specified group of elements.