Intel corporation (20240103867). SYSTEMS FOR PERFORMING INSTRUCTIONS TO QUICKLY CONVERT AND USE TILES AS 1D VECTORS simplified abstract

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SYSTEMS FOR PERFORMING INSTRUCTIONS TO QUICKLY CONVERT AND USE TILES AS 1D VECTORS

Organization Name

intel corporation

Inventor(s)

Bret Toll of Hillsboro OR (US)

Christopher J. Hughes of Santa Clara CA (US)

Dan Baum of Haifa (IL)

Elmoustapha Ould-ahmed-vall of Gilbert AZ (US)

Raanan Sade of Portland OR (US)

Robert Valentine of Kiryat Tivon (IL)

Mark J. Charney of Lexington MA (US)

Alexander F. Heinecke of San Jose CA (US)

SYSTEMS FOR PERFORMING INSTRUCTIONS TO QUICKLY CONVERT AND USE TILES AS 1D VECTORS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240103867 titled 'SYSTEMS FOR PERFORMING INSTRUCTIONS TO QUICKLY CONVERT AND USE TILES AS 1D VECTORS

Simplified Explanation

The disclosed embodiments relate to systems for quickly converting and using matrices as one-dimensional vectors. In one example, a processor includes fetch circuitry to fetch an instruction specifying an opcode, locations of a 2D matrix and a 1D vector, and a group of elements from the matrix. The opcode indicates a move of the specified group between the 2D matrix and the 1D vector. Decode circuitry decodes the fetched instruction, and execution circuitry moves contents of the specified 1D vector to the specified group of elements when the opcode specifies a move from 1D.

  • Processor with fetch circuitry, decode circuitry, and execution circuitry
  • Instruction specifies opcode, locations of 2D matrix and 1D vector, and group of elements
  • Opcode indicates move of specified group between 2D matrix and 1D vector
  • Decode circuitry decodes fetched instruction
  • Execution circuitry moves contents of 1D vector to specified group of elements

Potential Applications

This technology could be applied in:

  • Image processing
  • Machine learning algorithms
  • Data compression techniques

Problems Solved

This technology solves the following problems:

  • Efficient conversion of matrices to vectors
  • Streamlining data processing tasks
  • Enhancing computational efficiency

Benefits

The benefits of this technology include:

  • Faster data manipulation
  • Improved performance in matrix operations
  • Simplified programming for matrix transformations

Potential Commercial Applications

With its speed and efficiency, this technology could be valuable in:

  • Computer vision systems
  • Robotics applications
  • Financial modeling software

Possible Prior Art

One possible prior art is the use of matrix operations in linear algebra computations. Another could be the optimization of data structures for efficient memory usage.

Unanswered Questions

== How does this technology compare to existing methods of matrix-to-vector conversion? This article does not provide a direct comparison with existing methods, leaving the reader to wonder about the specific advantages of this new approach.

== What are the limitations of this technology in terms of matrix size or complexity? The article does not address any potential limitations related to the size or complexity of matrices that can be efficiently converted using this technology.


Original Abstract Submitted

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.