Vector Permutation Sorting for Cache-Efficient Data Streams
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Solution Overview
Problem
Digital signal processors face challenges in efficiently managing memory bandwidth and scheduling for real-time data processing, particularly in systems with multiple processors sharing memory, which can lead to cache misses and reduced performance.
Innovation Solution
The implementation of an autonomous streaming engine that manages multiple data streams with nested loop addressing and supports vector sorting instructions, enhancing memory bandwidth and data scheduling by directly supplying data to functional units, thereby reducing cache misses and optimizing processor utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple processors share memory in a system on chip, then processing capability is improved, but cache misses increase and performance decreases
Solution Approach 1:
The patent divides the memory system into separate instruction cache and data cache structures, allowing independent management of code and data access patterns. This segmentation reduces conflicts between multiple processors accessing different types of data, thereby maintaining high processing capability while reducing cache misses and improving overall system performance
Solution Approach 2:
The patent introduces cache memory structures as intermediary layers between the multiple processors and the main memory. These caches act as buffers that store frequently accessed data and instructions, reducing the frequency of direct memory accesses and minimizing cache misses, thus improving performance while maintaining multi-processor productivity
2Ease of operation
If data is loaded from memory to data registers, then data processing is enabled, but memory bandwidth is consumed and cache misses occur
Solution Approach 1:
The patent implements data cache structures that pre-load and store frequently accessed data elements before they are needed by the processor. This preliminary action allows data to be readily available in the cache when processing is required, enabling fast data processing while reducing repeated memory bandwidth consumption and cache misses
Data Source
AI summary
A device includes first and second circuitry coupled to the first circuitry, and a permute network coupled to the second circuitry. The first circuitry is operable to receive a set of elements, and compare a first element of the set of elements to a remainder of the set of elements. The second circuitry is operable to provide a control signal that specifies a respective sorted position for each element of the set of elements. The permute network is operable to reorder the set of elements based on the control signal.