NVIDIA / NVIDIA/CUDALibrarySamples

Question: readiness for Windows ARM64?

Open
#362 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Cuda
Stars
2.5k
Forks
478
PR merge metrics
No merged PRs in 30d

Description

Hi,
there is now preview CUDA 13.4 SDK supporting Windows ARM64 (RTX Spark).. two variants can generate ARM64 binaries.. (either native Win ARM64 CUDA SDK or via cross compiling in x64 SDK)..
question is if sample projects (VS projects) support it already or new arch has to be added to VS projects..
assuming not yet, as many (all?) CUDA libraries are x64 Win only right now..
assuming upon CUDA 13.4 stable launch many libraries will be updated adding Win ARM64 support soon after, and then samples here, will be updated with Win ARM64 support, right?

also as a request, as Win ARM64 support gets added to libraries, and samples add support for it, maybe add a table showing samples library status for ARM64..
it's a nice way to see at a given moment, how many libs are supporting Win ARM64..

like:

Library Win ARM64 support
nvCOMP not yet
cuTENSOR yes

thanks..

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review the sample Visual Studio projects and the CUDA 13.4 Windows ARM64 SDK support described in the issue. Determine which samples and libraries support Win ARM64, then document the current status in a table; the issue names no specific files or tests to run.

Written by the indexing model from the issue text.

Assessment

Domain
build-system, operating-systems
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.