Many of the programming languages used in AI, such as Python, Julia, and Java, rely on garbage collectors to manage memory. Rust, on the other hand, does not have a garbage collector.
Instead, it uses a unique ownership model with strict compile-time checks, ensuring memory safety and efficient resource management without the overhead of a garbage collector. This makes Rust faster and more predictable in performance, crucial for high-stakes applications like AI and system programming.
Rust’s approach prevents common issues such as memory leaks and data races, offering a powerful combination of speed and reliability that sets it apart from traditional garbage-collected languages.
In this article, I will introduce the basics of memory management in RUST with code examples.
Let’s get started!
Ownership System
Rust uses a unique system of ownership with rules that the compiler checks at compile time. This system eliminates *data races and ensures memory safety.
*data race is a condition that occurs in concurrent programming when two or more threads simultaneously access shared data, and at least one of the accesses is a write. This can lead to unpredictable behaviour, as the threads…
