Efficiently schedule work and inspect the hardware environment on many-processor systems.
On systems with 100+ logical processors, taking direct control over work placement can yield
superior performance by ensuring data locality and avoiding expensive cross-processor transfers.
```rust
use many_cpus::SystemHardware;
let threads = SystemHardware::current()
.processors()
.spawn_threads(|processor| {
println!("Spawned thread on processor {}", processor.id());
// In a real service, you would start some work handler here, e.g. to read
// and process messages from a channel or to spawn a web handler.
});
```
## See also
More details in the [package documentation](https://docs.rs/many_cpus/).
This is part of the [Folo project](https://github.com/folo-rs/folo) that provides mechanisms for
high-performance hardware-aware programming in Rust.
