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beginners-guide.md | ||
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README.md |
The Rust standard library's portable SIMD API
Code repository for the Portable SIMD Project Group. Please refer to CONTRIBUTING.md for our contributing guidelines.
The docs for this crate are published from the main branch. You can read them here.
If you have questions about SIMD, we have begun writing a guide. We can also be found on Zulip.
If you are interested in support for a specific architecture, you may want stdarch instead.
Hello World
Now we're gonna dip our toes into this world with a small SIMD "Hello, World!" example. Make sure your compiler is up to date and using nightly
. We can do that by running
rustup update -- nightly
or by setting up rustup default nightly
or else with cargo +nightly {build,test,run}
. After updating, run
cargo new hellosimd
to create a new crate. Edit hellosimd/Cargo.toml
to be
[package]
name = "hellosimd"
version = "0.1.0"
edition = "2018"
[dependencies]
core_simd = { git = "https://github.com/rust-lang/portable-simd" }
and finally write this in src/main.rs
:
use core_simd::*;
fn main() {
let a = f32x4::splat(10.0);
let b = f32x4::from_array([1.0, 2.0, 3.0, 4.0]);
println!("{:?}", a + b);
}
Explanation: We import all the bindings from the crate with the first line. Then, we construct our SIMD vectors with methods like splat
or from_array
. Finally, we can use operators on them like +
and the appropriate SIMD instructions will be carried out. When we run cargo run
you should get [11.0, 12.0, 13.0, 14.0]
.
Code Organization
Currently the crate is organized so that each element type is a file, and then the 64-bit, 128-bit, 256-bit, and 512-bit vectors using those types are contained in said file.
All types are then exported as a single, flat module.
Depending on the size of the primitive type, the number of lanes the vector will have varies. For example, 128-bit vectors have four f32
lanes and two f64
lanes.
The supported element types are as follows:
- Floating Point:
f32
,f64
- Signed Integers:
i8
,i16
,i32
,i64
,i128
,isize
- Unsigned Integers:
u8
,u16
,u32
,u64
,u128
,usize
- Masks:
mask8
,mask16
,mask32
,mask64
,mask128
,masksize
Floating point, signed integers, and unsigned integers are the primitive types you're already used to.
The mask
types are "truthy" values, but they use the number of bits in their name instead of just 1 bit like a normal bool
uses.