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https://github.com/denzp/rust-ptx-linker
The missing puzzle piece for NVPTX experience with Rust
https://github.com/denzp/rust-ptx-linker
cuda linker llvm nvptx rust
Last synced: about 2 months ago
JSON representation
The missing puzzle piece for NVPTX experience with Rust
- Host: GitHub
- URL: https://github.com/denzp/rust-ptx-linker
- Owner: denzp
- License: mit
- Created: 2017-06-07T23:18:33.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-03-03T12:10:02.000Z (almost 5 years ago)
- Last Synced: 2024-04-25T10:20:37.274Z (8 months ago)
- Topics: cuda, linker, llvm, nvptx, rust
- Language: Rust
- Homepage:
- Size: 21.1 MB
- Stars: 48
- Watchers: 7
- Forks: 11
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Rust PTX Linker
[![Build Status](https://travis-ci.org/denzp/rust-ptx-linker.svg?branch=master)](https://travis-ci.org/denzp/rust-ptx-linker)
[![Current Version](https://img.shields.io/crates/v/ptx-linker.svg)](https://crates.io/crates/ptx-linker)LLVM NVPTX bitcode linker for Rust 🔥 **without external system dependencies** 🔥!
## What's going on in v0.9?
The release is important for the linker and existing users.
The former approach was using an external `nvptx64-nvidia-cuda` json target specification and `xargo` to automatically compile `libcore`.As of *2019-02-06* Rust [received built-in support](https://github.com/rust-lang/rust/pull/57937) for building the CUDA kernels, and which evolved from the experience gained with `ptx-linker` prior `v0.9`.
Currently, it's possible to jump into a CUDA development with Nightly Rust:
``` bash
# Install the minimal required version of the linker.
$ cargo install ptx-linker -f --version ">= 0.9"# Install `libcore` for the CUDA target.
$ rustup target add nvptx64-nvidia-cuda
```More details about further usage can be found below ([**Advanced usage**](#advanced-usage) section).
## Purpose
The linker solves several of issues mentioned in the [NVPTX metabug](https://github.com/rust-lang/rust/issues/38789):- [x] Non-inlined functions can't be used cross crate - [rust#38787](https://github.com/rust-lang/rust/issues/38787)
- [x] No "undefined reference" error is raised when it should be - [rust#38786](https://github.com/rust-lang/rust/issues/38786)## Convenient usage
At the moment [ptx-builder](https://crates.io/crates/ptx-builder) is recommended approach to build Rust crates that contains CUDA code.## Advanced usage
Alternatively, the linker can be used alone.Make sure you are using a `cdylib` crate type (the step is needed to perform the actual "linking").
Add to your `Cargo.toml`:
``` toml
[lib]
crate_type = ["cdylib"]
```And finally, build the PTX assembly file:
``` bash
$ cd /path/to/kernels/crate
$ cargo build --target nvptx64-nvidia-cuda --release
```Rust will involve `ptx-linker` under-the-hood and the latter will write the assembly at:
```
target/nvptx64-nvidia-cuda/release/KERNELS_CRATE_NAME.ptx
```## How does it work?
The linker does the magic without external system dependencies (mainly, LLVM libs) installed.
Thanks to the [rustc-llvm-proxy](https://crates.io/crates/rustc-llvm-proxy) the correct LLVM symbols are being loaded at runtime.
The approach also ensures that the linker uses same libraries versions as Rust.### Windows users!
Unfortunately, due to LLVM dylib limitations, Windows targets are not supported.
The issue can be worked around if the linker is built with a static LLVM, but this requires a tighter integration with the Rust build process.
Currently, there is no work is done in this direction, but the situation might change.