Analysis of a new quaternary encoding for increased data throughput

Quaternary logic has the ability to be faster and consume less energy than conventional CMOS logic. Previous works on quaternary logic have only studied how quaternary logic works when the data size is compressed in order to save energy, which we will refer to as quaternary compression encoding. This thesis proposes and evaluates a new quaternary encoding, called the merging encoding, that focuses on increasing the data through put instead of compressing the size.The merging and compression systems have also been compared against each other. The merging encoding has been evaluated by simulating a Kogge-Stoneadder, and by testing how resistant that adder is against errors. We found that the merging encoding system does work as intended but that it is slightly worse at resisting errors, 35% worse than the compression encoding system. While error resistance is one of the hardest theoretical problems that quaternarylogic is facing, other aspects also exist. Some of these aspects, such as energy consumption and speed, have not been studied in this study but will bein future research papers

Analysis of a new quaternary encoding for increased data throughput

Quaternary logic has the ability to be faster and consume less energy than conventional CMOS logic. Previous works on quaternary logic have only studied how quaternary logic works when the data size is compressed in order to save energy, which we will refer to as quaternary compression encoding. This thesis proposes and evaluates a new quaternary encoding, called the merging encoding, that focuses on increasing the data through put instead of compressing the size.The merging and compression systems have also been compared against each other. The merging encoding has been evaluated by simulating a Kogge-Stoneadder, and by testing how resistant that adder is against errors. We found that the merging encoding system does work as intended but that it is slightly worse at resisting errors, 35% worse than the compression encoding system. While error resistance is one of the hardest theoretical problems that quaternarylogic is facing, other aspects also exist. Some of these aspects, such as energy consumption and speed, have not been studied in this study but will bein future research papers