Google llc (20240211269). Sparse SIMD Cross-lane Processing Unit simplified abstract
Contents
Sparse SIMD Cross-lane Processing Unit
Organization Name
Inventor(s)
Rahul Nagarajan of San Jose CA (US)
Suvinay Subramanian of Sunnyvale CA (US)
Arpith Chacko Jacob of Los Altos CA (US)
Sparse SIMD Cross-lane Processing Unit - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211269 titled 'Sparse SIMD Cross-lane Processing Unit
The abstract describes a patent application for a cross-lane processing unit (XPU) that can perform data-dependent operations across multiple data processing lanes of a processor. Instead of using operation-specific circuits, the XPU can be configured to perform different operations based on input signals, utilizing processing cells and crossbars arranged as a stacked network.
- The XPU can process data across multiple data processing lanes using individual processing cells.
- It can be configured to use a vector sort network to perform operations like duplicate counting without separate configuration for sorting.
- The innovation eliminates the need for operation-specific circuits by allowing the XPU to adapt to different data-dependent operations.
Potential Applications: - High-performance computing - Data analytics - Artificial intelligence and machine learning tasks
Problems Solved: - Reducing the need for operation-specific circuits - Improving efficiency in data processing tasks - Enhancing the flexibility of data-dependent operations
Benefits: - Increased processing speed - Reduced hardware complexity - Improved adaptability to different data processing tasks
Commercial Applications: Title: "Advanced Data Processing Unit for High-Performance Computing" This technology could be used in industries such as finance, healthcare, and research where fast and efficient data processing is crucial.
Questions about the technology: 1. How does the XPU improve the efficiency of data processing tasks? 2. What are the potential cost-saving benefits of using the XPU in high-performance computing applications?
Frequently Updated Research: Stay updated on advancements in data processing technologies and applications in fields like artificial intelligence and data analytics.
Original Abstract Submitted
aspects of the disclosure are directed to a cross-lane processing unit (xpu) for performing data-dependent operations across multiple data processing lanes of a processor. rather than implementing operation-specific circuits for each data-dependent operation, the xpu can be configured to perform different operations in response to input signals configuring individual operations performed by processing cells and crossbars arranged as a stacked network in the xpu. each processing cell can receive and process data across multiple data processing lanes. aspects of the disclosure include configuring the xpu to use a vector sort network to perform a duplicate count eliminating the need to configure the xpu separately for sorting and duplicate counting.
