TILETFM2RI Instruction for Row-Interleaved Matrix Transformation
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Solution Overview
Problem
Current mainstream processors face difficulties in efficiently handling large matrices due to the complexity and instruction intensity required for matrix operations, particularly in transforming matrices into row-interleaved format for deep learning applications.
Innovation Solution
The introduction of the TILETFM2RI instruction, which transforms a matrix into a row-interleaved format, allowing for optimized fused multiply-add operations and improved performance in General Matrix Multiplication (GEMM) by interleaving elements of the source matrix into a destination matrix, enabling efficient matrix multiplication and accumulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional matrix operations are performed on mainstream processors, then computational tasks can be executed, but the complexity and instruction intensity required for matrix operations makes efficient handling of large matrices difficult
Solution Approach 1:
The patent merges multiple matrix operations into a single instruction (TILETFM2RI) that performs transform, format conversion, and data movement in one operation. This combines what would traditionally require multiple separate instructions into a unified operation, reducing instruction intensity while maintaining computational efficiency for deep learning workloads
Solution Approach 2:
The TILETFM2RI instruction is designed as a universal operation that handles multiple functions: transforming matrix data, converting between row-major and row-interleaved formats, and preparing data for GEMM operations. This multi-functional instruction eliminates the need for separate specialized instructions for each operation, simplifying the overall computational process
2Productivity
If matrices are transformed into row-interleaved format for optimized GEMM operations, then throughput of deep learning algorithms is improved, but additional transformation steps are required
Solution Approach 1:
The TILETFM2RI instruction performs the matrix transformation and format conversion as a preliminary action before the actual GEMM computation. By preparing the data in the correct row-interleaved format in advance through this single instruction, the subsequent GEMM operation can proceed efficiently without requiring additional transformation steps
Solution Approach 2:
The patent combines the transformation step and the data format conversion into a single integrated instruction (TILETFM2RI). This merging eliminates the need for separate transformation instructions and data movement operations, reducing the overall complexity while enabling optimized GEMM operations with improved throughput
3Power
If special hardware for matrix multiplication is introduced, then peak compute and energy efficiency are improved, but hardware complexity increases
Solution Approach 1:
The TILETFM2RI instruction acts as an intermediary that bridges traditional CPU operations and specialized GEMM hardware. It prepares and transforms data in a way that is optimized for subsequent GEMM operations on specialized hardware, enabling efficient computation without requiring the CPU itself to have complex specialized matrix multiplication capabilities
Data Source
AI summary
Disclosed embodiments relate to systems and methods for performing instructions to transform matrices into a row-interleaved format. In one example, a processor includes fetch and decode circuitry to fetch and decode an instruction having fields to specify an opcode and locations of source and destination matrices, wherein the opcode indicates that the processor is to transform the specified source matrix into the specified destination matrix having the row-interleaved format; and execution circuitry to respond to the decoded instruction by transforming the specified source matrix into the specified RowInt-formatted destination matrix by interleaving J elements of each J-element sub-column of the specified source matrix in either row-major or column-major order into a K-wide submatrix of the specified destination matrix, the K-wide submatrix having K columns and enough rows to hold the J elements.