Google llc (20240220202). Multi-Modal Systolic Array For Matrix Multiplication simplified abstract

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Multi-Modal Systolic Array For Matrix Multiplication

Organization Name

google llc

Inventor(s)

Matthew Leever Hedlund of Sun Prairie WI (US)

Christopher Aaron Clark of Madison WI (US)

Andrew Everett Phelps of Middleton WI (US)

Thomas James Norrie of San Jose CA (US)

Norman Paul Jouppi of Palo Alto CA (US)

Sushma Honnavara-prasad of Los Gatos CA (US)

Vinayak Anand Gokhale of Austin TX (US)

Pareesa Ameneh Golnari of Bellevue WA (US)

Multi-Modal Systolic Array For Matrix Multiplication - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240220202 titled 'Multi-Modal Systolic Array For Matrix Multiplication

Simplified Explanation: The patent application describes a system and method for matrix multiplication using a systolic array that can be configured for different modes of operation.

  • The systolic processor can handle different data types for matrix multiplication.
  • For the first data type, the right-hand side data is loaded into the systolic array cells between row 0 and row m-1, while the left-hand side data is processed through the corresponding rows between rows 0 and m-1.
  • For the second data type, each element of the left-hand side and right-hand side data is split into first and second element halves, which are then moved through the systolic array between rows 0 and 2m-1.

Key Features and Innovation:

  • Configurable systolic array for matrix multiplication.
  • Handling of multiple data types for efficient processing.
  • Splitting elements for improved performance.

Potential Applications:

  • High-performance computing.
  • Scientific simulations.
  • Image and signal processing.

Problems Solved:

  • Efficient matrix multiplication.
  • Handling of different data types.
  • Improved processing speed.

Benefits:

  • Faster matrix multiplication.
  • Versatile data type handling.
  • Enhanced performance in various applications.

Commercial Applications:

  • High-performance computing systems.
  • Data centers.
  • Scientific research facilities.

Questions about Matrix Multiplication using Systolic Array: 1. How does the systolic array configuration impact the efficiency of matrix multiplication? 2. What are the advantages of using different data types in matrix multiplication?

1. A relevant generic question not answered by the article, with a detailed answer. - How does the systolic array compare to traditional methods of matrix multiplication? The systolic array offers parallel processing capabilities, which can significantly speed up matrix multiplication compared to traditional sequential methods.

2. Another relevant generic question, with a detailed answer. - What are the potential limitations of using a systolic array for matrix multiplication? One potential limitation could be the complexity of configuring the systolic array for different data types, which may require additional programming and optimization efforts.


Original Abstract Submitted

a system and method for matrix multiplication using a systolic array configurable between multiple modes of operation. a systolic processor may receive a data type indicator for the matrix multiplication. for a first data type, the systolic processor may load the right-hand side data from the right-hand matrix register into the data processing cells of the systolic array between row 0 and row m−1, and pass the respective row of the left-hand side data through a corresponding row of the systolic array between rows 0 and m−1. for a second data type, the systolic processor may split each element of the left-hand side data and the right-hand side data into respective first and second element halves, and move each element half through a corresponding row of the systolic array between rows 0 and 2m−1.