Rayon

Simply changing `iter()` to `par_iter()` enables parallel execution, as shown in the sum_of_squares example, with minimal code changes and no manual thread management.

APIs ensure that if code compiles, it behaves identically to sequential code, leveraging Rust's type system to eliminate most parallel bugs at compile time.

Parallel iterators adaptively divide tasks at runtime to maximize CPU utilization, providing efficient execution without requiring manual tuning or configuration.

Beyond iterators, functions like `join` and `scope` allow custom parallel task creation, and custom thread pools offer control over resource allocation beyond the global default.

By default, Rayon runs sequentially on WebAssembly for compatibility, with optional multithreading via adapters like wasm-bindgen-rayon, ensuring broad platform support.