Google llc (20240303297). LOW LATENCY MATRIX MULTIPLY UNIT simplified abstract
Contents
LOW LATENCY MATRIX MULTIPLY UNIT
Organization Name
Inventor(s)
Andrew Everett Phelps of Middleton WI (US)
Norman Paul Jouppi of Palo Alto CA (US)
LOW LATENCY MATRIX MULTIPLY UNIT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303297 titled 'LOW LATENCY MATRIX MULTIPLY UNIT
Simplified Explanation: The patent application describes methods, systems, and apparatus for a matrix multiply unit implemented as a systolic array of cells. Each cell includes various components such as weight matrix registers, transposed weight shift registers, non-transposed weight shift registers, and a multiply unit.
- Weight matrix register receives weight inputs from transposed or non-transposed weight shift registers.
- Transposed weight shift register stores weight inputs from a horizontal direction.
- Non-transposed weight shift register stores weight inputs from a vertical direction.
- Multiply unit multiplies the weight input with vector data input to obtain a multiplication result.
Key Features and Innovation: - Implementation of a matrix multiply unit as a systolic array of cells. - Use of weight matrix registers, transposed and non-transposed weight shift registers for efficient computation. - Integration of multiply units within each cell for matrix multiplication.
Potential Applications: - Artificial intelligence and machine learning algorithms. - Signal processing applications. - Image and video processing tasks.
Problems Solved: - Efficient matrix multiplication in parallel processing systems. - Reduction of computational complexity in large-scale matrix operations.
Benefits: - Faster processing of matrix multiplication tasks. - Improved performance in complex mathematical computations. - Scalability for handling large datasets.
Commercial Applications: The technology can be utilized in industries such as: - Data analytics and big data processing. - Autonomous vehicles and robotics. - Cloud computing and server farms.
Questions about Matrix Multiply Unit: 1. How does the systolic array architecture improve matrix multiplication efficiency? 2. What are the advantages of using weight matrix registers in the matrix multiply unit?
Original Abstract Submitted
methods, systems, and apparatus for a matrix multiply unit implemented as a systolic array of cells are disclosed. each cell of the matrix multiply includes: a weight matrix register configured to receive a weight input from either a transposed or a non-transposed weight shift register; a transposed weight shift register configured to receive a weight input from a horizontal direction to be stored in the weight matrix register; a non-transposed weight shift register configured to receive a weight input from a vertical direction to be stored in the weight matrix register; and a multiply unit that is coupled to the weight matrix register and configured to multiply the weight input of the weight matrix register with a vector data input in order to obtain a multiplication result.
