17972663. Sparse SIMD Cross-lane Processing Unit simplified abstract (Google LLC)
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 17972663 titled 'Sparse SIMD Cross-lane Processing Unit
Simplified Explanation
The abstract describes a cross-lane processing unit (XPU) that performs data-dependent operations across multiple data processing lanes of a processor. The XPU can be configured to perform different operations by configuring individual operations performed by processing cells and crossbars arranged as a stacked network.
- The XPU eliminates the need for operation-specific circuits for each data-dependent operation.
- Each processing cell can receive and process data across multiple data processing lanes.
- The XPU uses a vector sort network to perform a duplicate count, eliminating the need for separate configurations for sorting and duplicate counting.
Potential Applications
- High-performance computing systems
- Data analytics and processing applications
- Artificial intelligence and machine learning algorithms
Problems Solved
- Reduces the need for operation-specific circuits, simplifying the design and implementation of data-dependent operations.
- Enables efficient processing of data across multiple data processing lanes.
- Eliminates the need for separate configurations for sorting and duplicate counting.
Benefits
- Improved performance and efficiency in data processing.
- Simplified design and implementation of data-dependent operations.
- Flexibility in configuring the XPU for different operations without the need for additional circuits.
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.
