Silent Code Mapping for Parallel Data Switching Noise
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Solution Overview
Problem
High-speed computing systems face noise issues due to simultaneous switching of integrated circuits, which can lead to power supply and ground noise, affecting data transmission integrity and increasing power consumption.
Innovation Solution
The system employs algorithms to map data words from one code space to another, ensuring an even or nearly even number of logical zeros and ones, reducing the number of bit transitions and thereby minimizing noise generated by simultaneous switching outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is transmitted using parallel interfaces with multiple bits simultaneously, then communication speed is improved, but noise from simultaneous switching increases
Solution Approach 1:
The patent changes the parameter of data encoding by mapping N-bit data words to M-bit coded words where M > N. This parameter change ensures that the coded words have an even or nearly even number of logical zeros and ones, which reduces simultaneous switching noise while maintaining communication speed through parallel interfaces.
Solution Approach 2:
The patent applies preliminary encoding action to data words before transmission. By pre-mapping the data words to coded words with balanced logic levels, the system prepares the data in advance to minimize switching noise during actual transmission, resolving the contradiction between speed and noise.
2Reliability
If data is encoded to provide sufficient transitions between logic states for clock and data recovery, then reliability is improved, but power consumption increases
Solution Approach 1:
The patent changes the encoding parameters to achieve a balance between transitions and power consumption. By mapping to coded words with even or nearly even logic levels, the system maintains sufficient transitions for reliable clock and data recovery while reducing excessive switching activity that would increase power consumption.
3Object-generated harmful factors
If data is encoded to include an even or nearly even number of logical zeros and ones, then noise is reduced, but device complexity increases
Solution Approach 1:
The patent uses preliminary mapping tables to store the relationships between N-bit data words and M-bit coded words. This preliminary preparation simplifies the encoding process during transmission, reducing the complexity of the encoding device while maintaining the noise reduction benefits of balanced logic level distribution.
Solution Approach 2:
The patent creates a mapping table that copies and stores the optimal encoding relationships in advance. This allows the encoding device to simply look up and retrieve pre-determined coded words rather than performing complex real-time encoding calculations, thereby reducing device complexity.
Data Source
AI summary
The least-significant-bits (LSBs) of a first data word of a first subset of a first plurality of data words may be compared to the LSBs of each data word of a second subset of a second plurality of data words. The first data word may then be mapped to a second data word of the second subset. A number of LSBs of the second data word matching LSBs of the first data word may be greater than a respective number of LSBs of each data word of a third subset of the second subset matching the LSBs of the first data word, where the third subset excludes the second data word and a most-significant-bit (MSB) of the second data word may be the same as a MSB of the first data word.