Processor

RecipeCratesCategories
Check the Number of Logical cpu Coresnum_cpuscat-hardware-support
SIMD (Single Instruction, Multiple Data) Operations[![std::arch][c-std::arch-badge]][c-std::arch]cat-hardware-support

Key Points

  • Rust generally doesn't require direct CPU manipulation. The compiler and standard library provide good abstractions.
  • SIMD and atomic operations are important for performance.
  • Direct access to CPU features (like inline assembly) is usually only necessary for very specialized or performance-critical code. Avoid it if you can.

CPU Identification

cpuid: A crate for getting CPU information (vendor, features, etc.)

Check the Number of Logical cpu Cores

num_cpus num_cpus-crates.io num_cpus-github num_cpus-lib.rs cat-hardware-support

Shows the number of logical CPU cores in the current machine using num_cpus::get⮳.

fn main() {
    println!("Number of logical cores is {}", num_cpus::get());
}

Low-Level Programming and Optimization

Inline Assembly

You can use inline assembly in Rust with the asm! macro, but it's generally discouraged unless absolutely necessary for performance reasons. It makes code less portable.

Compiler Intrinsics

Compiler intrinsics are functions that map directly to CPU instructions. They're often used for low-level optimization. Access to intrinsics is usually through std::arch.

SIMD (Single Instruction, Multiple Data) Operations

std::arch: (Standard library) Provides access to SIMD instructions if the target CPU supports them. This is essential for performance optimization.

packed_simd: A crate for portable SIMD.

Related Topics

Atomic Operations

See Atomics.

Profiling

Profiling tools help you identify CPU-related performance issues.

cargo flamegraph, perf (Linux) help you identify performance bottlenecks in your code, which can be related to CPU usage.

See Development Tools Profiling and Memory Usage Analysis.

Concurrency and Multithreading (Related to CPU Utilization)

Concurrency and multithreading allow you to utilize multiple CPU cores.

std::thread: (Standard library) For creating and managing threads. rayon: A data parallelism library that makes it easy to parallelize computations. tokio: An asynchronous runtime for writing concurrent applications.

See Concurrency.

Memory Model

Understanding the CPU's memory model is important for writing correct concurrent code. See Memory Management.

Operating System Interaction

System calls are used to interact with the operating system, which in turn interacts with the CPU. See OS.

Embedded Systems Programming

In embedded systems, you often have more direct access to CPU features and peripherals. See the Embedded Systems section for relevant crates.