Google llc (20240192897). ENHANCED INPUT OF MACHINE-LEARNING ACCELERATOR ACTIVATIONS simplified abstract

From WikiPatents
Jump to navigation Jump to search

ENHANCED INPUT OF MACHINE-LEARNING ACCELERATOR ACTIVATIONS

Organization Name

google llc

Inventor(s)

Lukasz Lew of Sunnyvale CA (US)

Wren Romano of Mountain View CA (US)

ENHANCED INPUT OF MACHINE-LEARNING ACCELERATOR ACTIVATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240192897 titled 'ENHANCED INPUT OF MACHINE-LEARNING ACCELERATOR ACTIVATIONS

The patent application describes methods, systems, and apparatus for scheduling operations on a machine-learning accelerator with multiple tiles.

  • The apparatus includes a processor with scheduling circuitry that selects input activations for each tile from an activation line or a delay register.
  • This technology optimizes the scheduling of operations on a machine-learning accelerator, improving efficiency and performance.
  • By selecting input activations for each tile, the system can enhance the overall processing speed and accuracy of the machine-learning tasks.
  • The use of scheduling circuitry allows for better resource allocation and management within the machine-learning accelerator.
  • This innovation can lead to advancements in the field of machine learning and artificial intelligence by streamlining the operation of accelerators.

Potential Applications:

  • This technology can be applied in various industries such as healthcare, finance, and autonomous vehicles where machine learning is utilized.
  • It can enhance the performance of deep learning algorithms, image recognition systems, and natural language processing tasks.

Problems Solved:

  • Efficient scheduling of operations on a machine-learning accelerator with multiple tiles.
  • Improved resource allocation and management within the accelerator.
  • Enhanced processing speed and accuracy of machine-learning tasks.

Benefits:

  • Increased efficiency and performance of machine-learning accelerators.
  • Enhanced speed and accuracy of machine-learning tasks.
  • Improved resource utilization and management.

Commercial Applications:

  • This technology can be used in industries that heavily rely on machine learning for data analysis, pattern recognition, and decision-making processes.
  • Companies developing AI-driven products and services can benefit from the improved performance and efficiency of machine-learning accelerators.

Questions about the technology: 1. How does the scheduling circuitry optimize the selection of input activations for each tile? 2. What are the potential implications of this technology on the future of machine learning and artificial intelligence research and development?


Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on computer storage media, for scheduling operations on a machine-learning accelerator having multiple tiles. the apparatus includes a processor having a plurality of tiles and scheduling circuitry that is configured to select a respective input activation for each tile of the plurality of tiles from either an activation line for the tile or a delay register for the activation line.

Retrieved from "http://wikipatents.org/index.php?title=Google_llc_(20240192897)._ENHANCED_INPUT_OF_MACHINE-LEARNING_ACCELERATOR_ACTIVATIONS_simplified_abstract&oldid=72395"