This project provides Rust bindings for AMD's ROCm (Radeon Open Compute) libraries, allowing Rust developers to leverage AMD GPUs for high-performance computing.
Note: This project is in early development.
Currently implemented: - ✅ rocFFT - Fast Fourier Transform library (raw bindings + safe wrappers) - ✅ HIP - Heterogeneous-Compute Interface for Portability (raw bindings + safe wrappers) - ✅ rocBLAS - Basic Linear Algebra Subprograms (raw bindings + safe wrappers) - ✅ MIOpen - Deep learning primitives (raw bindings + safe wrappers) - ✅ rocRAND - Random number generation (raw bindings + safe wrappers) - ✅ rocSOLVER - Linear system solvers (raw bindings only) - ✅ rocSPARSE - Sparse linear algebra (raw bindings only) - ✅ ROCArray - GPU array struct with api similar to Vec - ✅ rocmsmi - system managment interface (refer to rocm_smi_lib) - ✅ rocm_kernel_macros - macros for writing gpu kernels in rust(refer to rocm_kernel_macros)
The project currently focuses on providing raw FFI bindings for most libraries, with safe Rust wrappers available for rocFFT. Additional safe wrappers for other libraries are planned for future development.
Add this to your Cargo.toml:
[dependencies]
rocm-rs = "0.1.0"
First, ensure that the ROCm libraries are in your library path or set the ROCM_PATH environment variable.
use std::path::PathBuf;
use rocm_kernel_macros::{amdgpu_kernel_attr, amdgpu_kernel_finalize, amdgpu_kernel_init};
use rocm_rs::hip::*;
const LEN: usize = 1024;
// initializing rust gpu kernel
amdgpu_kernel_init!();
// marking code that will be coppied to gpu kernel
#[amdgpu_kernel_attr]
fn kernel(input: *const u32, output: *mut u32) {
// retriving data from buffere by workitem
let num = read_by_workitem_id_x(input);
// writing data back
write_by_workitem_id_x(output, num * 3);
}
// compiling gpu kernel
const AMDGPU_KERNEL_BINARY_PATH: &str = amdgpu_kernel_finalize!();
fn main() -> Result<()> {
// setting up device
let device = Device::new(0)?;
device.set_current()?;
// loading gpu kerenel (runs in runtime!)
let kernel_path = PathBuf::from(AMDGPU_KERNEL_BINARY_PATH);
assert!(kernel_path.exists());
let module = Module::load(kernel_path)?;
// acquiring function handle from gpu kernel
let function = module.get_function("kernel")?;
// preparing host side buffers
let mut in_host: Vec<u32> = vec![0; LEN];
let mut out_host: Vec<u32> = vec![0; LEN];
for i in 0..LEN {
in_host[i] = i as u32;
}
// preparing gpu side buffers
let mut input = DeviceMemory::<u32>::new(LEN)?;
let output = DeviceMemory::<u32>::new(LEN)?;
input.copy_from_host(&in_host)?;
// providing arguments for kernel
let kernel_args = [input.as_kernel_arg(), output.as_kernel_arg()];
// setting up launch args
let grid_dim = Dim3 { x: 2, y: 1, z: 1 };
let block_dim = Dim3 {
x: (LEN / 2) as u32,
y: 1,
z: 1,
};
function.launch(grid_dim, block_dim, 0, None, &mut kernel_args.clone())?;
// retriving computed data
output.copy_to_host(&mut out_host)?;
println!("Output: {:?}", &out_host[..256]);
Ok(())
}
use rocm_rs::rocfft::{self, plan, execution, field};
fn main() {
// Initialize the rocFFT library
// Use the safe wrappers for rocFFT
let plan = plan::Plan::new(/* parameters */);
let field = field::Field::new(/* parameters */);
let execution = execution::Execution::new(/* parameters */);
// Perform FFT operations
// ...
}
use rocm_rs::hip::*;
fn main() {
unsafe {
// Example of using HIP raw bindings
let mut device_count = 0;
hipGetDeviceCount(&mut device_count);
println!("Found {} HIP devices", device_count);
// Use other raw bindings as needed
// ...
}
}
Important: When building from source, you need to run cargo build first to generate the bindings files before you can use the library or run tests.
# Clone the repository
git clone https://github.com/radudiaconu0/rocm-rs.git
cd rocm-rs
# Set the ROCm path if not in the default location
export ROCM_PATH=/opt/rocm
# Build the project (generates bindings)
cargo build
Contributions are welcome! Please feel free to submit a Pull Request.
When contributing:
1. Run cargo build first to generate the bindings
2. Add tests for new functionality
3. Update documentation as needed
This project is licensed under the MIT License - see the LICENSE file for details.
$ claude mcp add rocm-rs \
-- python -m otcore.mcp_server <graph>