Vector Sorting Instructions with DSP Streaming Engine Prefetch
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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 complex data streams and shared memory architectures, which can lead to cache misses and reduced processing efficiency.
Innovation Solution
Incorporating an autonomous streaming engine within the DSP core to manage multiple data streams, support multi-dimensional loops, and provide instruction support for vector sorting, enabling efficient data handling and sorting operations directly from memory to functional units, thereby reducing cache misses and optimizing memory access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional memory access methods are used in DSP systems, then processors can access data from shared memory, but cache misses occur and processing efficiency is reduced
Solution Approach 1:
The streaming engine performs preliminary actions by pre-fetching and organizing data from memory into stream buffers before the processor needs it. Multiple data streams are loaded and pre-processed in advance, allowing the processor to access already-prepared data and avoid cache misses during critical processing operations.
Solution Approach 2:
The streaming engine acts as an intermediary between memory and the processor. It includes stream buffers and data formatting units that mediate data transfer, converting raw memory data into processor-ready formats and organizing multiple data streams before they reach the functional units, thereby reducing direct memory access requirements.
2Adaptability or versatility
If multiple data streams are processed through traditional memory access, then data can be retrieved from shared memory, but memory bandwidth is consumed and processor resources are occupied
Solution Approach 1:
The system segments data processing into multiple independent stream buffers, each handling a separate data stream. The streaming engine can simultaneously manage multiple segmented streams through parallel buffer operations and independent data formatting units, allowing versatile multi-stream processing while optimizing memory bandwidth usage through organized data flow.
Solution Approach 2:
The streaming engine introduces a new dimension of data organization by implementing multi-dimensional loop support and complex data stream formatting capabilities. This allows data to be accessed and processed in multiple dimensions (spatial, temporal, hierarchical) without increasing linear memory bandwidth consumption, as data is reorganized in buffer memory rather than repeatedly accessing main memory.
3Ease of operation
If vector sorting operations are implemented in software, then data can be sorted, but processor cycles are consumed and real-time processing is compromised
Solution Approach 1:
The patent replaces software-based sorting algorithms with hardware-based sorting networks implemented in the vector processing unit. Comparison logic and sorting circuits are built into the functional units, substituting mechanical/software sorting operations with dedicated hardware circuits that perform sorting in parallel without consuming processor instruction cycles.
Solution Approach 2:
The vector processing unit performs sorting operations autonomously using its built-in comparison and sorting logic. The functional units self-organize data from stream buffers through hardware sorting networks without requiring processor intervention or software sorting routines, enabling real-time sorting as a self-service operation that maintains processing throughput.
Data Source
AI summary
A method for sorting of a vector in a processor is provided that includes performing, by the processor in response to a vector sort instruction, sorting of values stored in lanes of the vector to generate a sorted vector, wherein the values are sorted in an order indicated by the vector sort instruction, and storing the sorted vector in a storage location.