Software is typically written in high-level programming languages, which are easier for humans to understand and manipulate, while hardware implementations involve low-level descriptions of physical components and their interconnections.
[3] Overall, translator computing plays a crucial role in bridging the gap between software and hardware implementations, enabling developers to leverage the strengths of each platform and optimize performance, power efficiency, and other metrics according to the specific requirements of the application.
Factors that are affected during these stages include code performance, feedback speed for the debugging process, language features, and platform independence.
Some of the more notable programming language processors used to translate code are compilers, interpreters, and assemblers.
With compiler programs, the translation process occurs one-time which results in efficient code that can be executed quickly for any number of times.
Many of these components are not easily readable by humans and therefore mnemonics, symbols, and labels make the code decipherable.
The first pass of assembly is done in order to identify binary addresses that correspond to the symbolic names.