Cross-Lane Processing Unit for Sparse SIMD Data Operations
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Solution Overview
Problem
Existing SIMD architectures are inefficient in performing data-dependent operations such as sorting and counting unique values in input vectors, as they require pre-defined hardware configurations for each operation, limiting their ability to handle irregular data access patterns and varying computational workloads.
Innovation Solution
The cross-lane processing unit (XPU) configures processing cells and crossbars as a stacked network to perform data-dependent operations across multiple data processing lanes, allowing for dynamic operation execution without the need for pre-defined hardware configurations, enabling efficient processing of operations like vector sorting and duplicate counting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-defined hardware configurations are used for each operation in SIMD architectures, then operation execution is straightforward, but the ability to handle irregular data access patterns and varying computational workloads is limited
Solution Approach 1:
The patent implements a universal processing cell that can perform multiple operations (add, multiply, compare, select) by dynamically configuring its behavior through control signals rather than having separate dedicated hardware for each operation. This allows the same physical hardware to adapt to different computational workloads and data access patterns, resolving the contradiction between versatility and complexity.
Solution Approach 2:
The processing cells are designed to be dynamically reconfigurable during operation, allowing the hardware to adapt its behavior based on the specific computational task at hand. This dynamic configuration capability enables the system to handle irregular data access patterns and varying workloads without requiring separate pre-defined hardware configurations for each operation type.
2Productivity
If separate hardware configurations are provided for sorting and counting operations, then each operation can be performed efficiently, but the overall device complexity increases
Solution Approach 1:
The patent combines sorting and counting functionality into a single integrated processing pipeline where the same processing cells perform both operations by configuring their behavior through different control signals. The processing cell can function as a comparator for sorting operations or as a counter for counting operations, eliminating the need for separate dedicated hardware configurations and reducing overall device complexity while maintaining processing efficiency.
Data Source
AI summary
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.