Meta platforms technologies, llc (20240220255). DATA PARALLELISM simplified abstract

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DATA PARALLELISM

Organization Name

meta platforms technologies, llc

Inventor(s)

Reza Tusi of San Jose CA (US)

Tomonari Tohara of Sunnyvale CA (US)

David Vakrat of Kfar Saba (IL)

Javid Jaffari of San Diego CA (US)

Yuan Liu of San Jose CA (US)

DATA PARALLELISM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240220255 titled 'DATA PARALLELISM

The abstract describes a computing system that sets data to a first group of registers and patterns to a second group of registers for efficient access during a single operation cycle.

  • The system selects a pattern from the second group of registers for a vector register associated with a vector engine.
  • It loads a portion of the data from the first group of registers to the vector register based on the selected pattern.
  • This process allows for optimized data handling and manipulation within the computing system.

Potential Applications: - High-performance computing systems - Data processing applications - Parallel computing tasks

Problems Solved: - Streamlining data access and manipulation - Enhancing efficiency in computing operations

Benefits: - Faster data processing - Improved performance in parallel computing tasks - Enhanced overall system efficiency

Commercial Applications: Title: "Efficient Data Handling System for High-Performance Computing" This technology can be utilized in industries such as: - Artificial intelligence - Big data analytics - Scientific research

Prior Art: Researchers can explore prior patents related to vector register optimization and data manipulation in computing systems.

Frequently Updated Research: Stay updated on advancements in vector register optimization and parallel computing technologies for potential improvements in data handling efficiency.

Questions about Efficient Data Handling System for High-Performance Computing: 1. How does the system optimize data access during a single operation cycle? 2. What are the key benefits of using patterns to load data into vector registers efficiently?


Original Abstract Submitted

in one embodiment, a computing system may set data to a first group of registers. the first group of registers may be configured to be accessed during a single operation cycle. the system may set a number of patterns to a second group of registers. each pattern of the number of patterns may include an array of index for the data stored in the first group of registers. the system may select, for a first vector register associated with a vector engine, a first pattern from the patterns stored in the second group of registers. the system may load a first portion of the data from the first group of registers to the first vector register based on the first pattern selected for the first vector register from the patterns stored in the second group of registers.