Multilayer Butterfly Network Control for Data Processing
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Solution Overview
Problem
Modern digital signal processors face challenges with increasing workloads, memory bandwidth limitations, and memory access complexities, particularly in real-time data processing, where memory latency and unreliable memories impact performance.
Innovation Solution
A digital data processor with a streaming engine that retrieves a stream of instruction-specified data elements for processing, utilizing a multilayer butterfly network to transform and align data streams, and employing precalculated inputs and simple combinatorial logic for control signal generation to manage multiplexer control signals independently for each layer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a multilayer butterfly network is used to transform and align data streams, then data processing capability and bandwidth are improved, but control circuit complexity increases
Solution Approach 1:
The butterfly network is divided into multiple layers, with each layer handling a specific stage of data transformation. The control logic is segmented into independent layer controllers that operate in parallel, reducing the complexity of any single control unit while maintaining overall processing capability.
Solution Approach 2:
Control signals for each layer are precalculated based on the input and output data patterns. This preliminary calculation allows the control circuits to use simple combinatorial logic rather than complex real-time decision-making, reducing control circuit complexity while maintaining high processing capability.
2Adaptability or versatility
If separate control of each multiplexer is implemented, then data transformation flexibility is improved, but control signal complexity increases
Solution Approach 1:
A unified control architecture is implemented where control signals are generated based on the overall input-output pattern requirements rather than individual multiplexer controls. This universal control approach maintains data transformation flexibility while reducing control signal complexity through pattern-based control generation.
3Productivity
If memory access is increased to handle growing workloads, then processing throughput is improved, but memory latency and access complexity worsen
Solution Approach 1:
The butterfly network transforms data from a sequential memory access pattern to a parallel transformation pattern. By organizing data flow through multiple layers of transformation units, the system achieves high throughput without proportionally increasing memory access complexity or latency.
Data Source
AI summary
A multilayer butterfly network is shown that is operable to transform and align a plurality of fields from an input to an output data stream. Many transformations are possible with such a network which may include separate control of each multiplexer. This invention supports a limited set of multiplexer control signals, which enables a similarly limited set of data transformations. This limited capability is offset by the reduced complexity of the multiplexor control circuits. This invention used precalculated inputs and simple combinatorial logic to generate control signals for the butterfly network. Controls are independent for each layer and therefore are dependent only on the input and output patterns. Controls for the layers can be calculated in parallel.