Review the case expression in the switch and see if we can exit the loop early. -> you can consider to write a tool to record all possible cases for measuring performance
Remove for loop that has an empty {}.
dead code is elimination
arithmetic pre-calculation
Remove code (unnesseary) in loop
Performance is crucial. Beyond ensuring that our interpreter meets its functional requirements, we must also focus on its performance. Efficient interpreters are essential because they minimise overhead and optimise resource usage such as memory, enhancing overall system performance. Measuring our interpreter's performance is the key focus of our study, as it allows us to assess how code changes impact efficiency and identify performance issues. By understanding the performance of each component, we can pinpoint bottlenecks and prioritise their optimisation.
One critical aspect of building our interpreter is establishing a strong engineering infrastructure. A specified engineering process provides a defined approach to programming language implementation, ensuring the project remains organised. By defining engineering processes in advance, such as code deployment and testing procedures, we reduce the effort needed to manage these tasks, allowing us to concentrate on building the project. This process also allows us to track code changes effectively, which helps us switch between features. Additionally, creating workflows for repetitive tasks to automate the tasks helps minimise human error and saves time, further allowing us to focus on building the interpreter.
jun-hf
commented
3 months ago
Performance is crucial. Beyond ensuring that our interpreter meets its functional requirements, we must also focus on its performance. Efficient interpreters are essential because they minimise overhead and optimise resource usage such as memory, enhancing overall system performance. Measuring our interpreter's performance is the key focus of our study, as it allows us to assess how code changes impact efficiency and identify performance issues. By understanding the performance of each component, we can pinpoint bottlenecks and prioritise their optimisation.
One critical aspect of building our interpreter is establishing a strong engineering infrastructure. A specified engineering process provides a defined approach to programming language implementation, ensuring the project remains organised. By defining engineering processes in advance, such as code deployment and testing procedures, we reduce the effort needed to manage these tasks, allowing us to concentrate on building the project. This process also allows us to track code changes effectively, which helps us switch between features. Additionally, creating workflows for repetitive tasks to automate the tasks helps minimise human error and saves time, further allowing us to focus on building the interpreter.