18525172. DATA PARALLELISM simplified abstract (Meta Platforms Technologies, LLC)
Contents
DATA PARALLELISM
Organization Name
Meta Platforms Technologies, LLC
Inventor(s)
Tomonari Tohara of Sunnyvale CA (US)
David Vakrat of Kfar Saba (IL)
Javid Jaffari of San Diego CA (US)
DATA PARALLELISM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18525172 titled 'DATA PARALLELISM
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.
- Data is set to a first group of registers in a computing system.
- The first group of registers can be accessed in a single operation cycle.
- Patterns are set to a second group of registers, each containing an array of index for the data in the first group of registers.
- A first pattern is selected for a first vector register associated with a vector engine.
- A first portion of the data from the first group of registers is loaded to the first vector register based on the selected pattern.
Potential Applications: - High-performance computing systems - Data processing applications - Vector processing tasks
Problems Solved: - Efficient data handling and processing - Optimized use of registers in computing systems
Benefits: - Faster data access and processing - Improved performance in vector operations - Enhanced efficiency in computing tasks
Commercial Applications: Title: "Advanced Data Processing Technology for High-Performance Computing Systems" This technology can be utilized in supercomputers, data centers, and scientific research facilities to enhance data processing speed and efficiency. It can also be integrated into AI systems for accelerated machine learning tasks.
Questions about the technology: 1. How does this technology improve data processing efficiency in computing systems? 2. What are the potential applications of this technology in scientific research and data analysis?
Frequently Updated Research: Stay updated on the latest advancements in high-performance computing systems and vector processing technologies to leverage the benefits of this innovative data handling approach.
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.
