Julia's multiple dispatch is a powerful feature that allows different implementations of a function to be selected based on the types of arguments passed to it. It enables dynamic polymorphism, allowing for flexible and efficient code. When a function is called, Julia identifies the most specific method that matches the types of the arguments and executes it. This mechanism greatly contributes to Julia's performance and expressive capabilities.

Multiple dispatch in Julia is based on the concept of type-stability and type inference. The compiler analyzes the function calls and infers the types of the arguments, which enables it to generate specialized code for different argument types. This leads to efficient execution and eliminates the need for runtime type checks. It also allows for easy extensibility, as new methods can be added to existing functions without modifying their original definitions.

One interesting aspect of multiple dispatch in Julia is the ability to define fallback methods. These methods are executed when no specific method is applicable, allowing for graceful handling of unexpected argument types. Julia provides various tools and techniques, such as type unions and type parameters, to make multiple dispatch more expressive and precise.