Clangd for CUDA Device Code
This is clangd extended to give feedback on host and device parts of cuda, including things like syntax errors within inline ptx. Actual cuda as it is written or the clang dialect as you prefer. I like the tarball release as that's a set of x86 binaries that run as your normal user. There's other good stuff in the package too - it's a complete cuda to amdgpu or nvptx compiler toolchain. Questions / feedback welcome here or to [email protected] or via https://discord.com/invite/KNpgGbTc38 etc
Clangd for CUDA Device Code launched on March 16, 2026 with 8 votes, #1,340 of 23,380 launches that month and more than 75% of that year's launches.
What it does
SCALE is a CUDA-compatible GPU programming toolkit targeting both NVIDIA and AMD GPUs. Instead of porting programs away from CUDA, SCALE offers a vendor-neutral platform that allows users to keep their existing codebases without compromising on performance or developer productivity. Any questions, suggestions, or bug reports? Join our community and talk with our dev team directly. For NVIDIA targets, SCALE replaces nvcc , offering improved compiler diagnostics and - sometimes - performance. For AMD targets, SCALE also provides the CUDA runtime, driver, and math libraries. SCALE's implementations are often faster than HIP, and match the behaviour of the NVIDIA CUDA APIs more precisely. We…from docs.scale-lang.com
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