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eyalroz
cuda-api-wrappers
C++2021–2026
eyalroz / cuda-api-wrappers

cuda-api-wrappers

Thin, unified, C++-flavored wrappers for the CUDA APIs

2Distinct people
17Mentions
0Explicit recommenders
906GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Thin, unified, C++-flavored wrappers for the CUDA APIs

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 2:04:58 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year17 dated mentions

Observed mentions: 2021-09-25 19:52:06 UTC to 2026-06-29 14:12:34 UTC.

0123452021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC312
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC303
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC505
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC202

What Hacker News says

3 sources
> CUDA Runtime: The runtime library (libcudart) that applications link against. That library is actually a rather poor idea. If you're writing a CUDA application, I strongly recommend avoiding the "runtime API". It provides partial access to the actual CUDA driver and its API, which is 'simpler' in the sense that you don't explicitly create "contexts", but: * It hides or limits a lot of the functionality. * Its actual behavior vis-a-vis contexts is not at all simple and is likely to make your life more difficult down the road. * It's not some clean interface that's much more convenient to use. So, either go with the driver, or consider my CUDA API wrappers library [1], which _does_ offer a clean, unified, modern (well, C++11'ish) RAII/CADRe interface. And it covers much more than the runtime API, to boot: JIT compilation of CUDA (nvrtc) a
Read the rest
nd PTX (nvptx_compiler), profiling (nvtx), etc. > Driver API ... provides direct access to GPU functionality. Well, I wouldn't go that far, it's not that direct. Let's call it: "Less indirect"... [1] : https://github.com/eyalroz/cuda-api-wrappers/
In CUDA Ontology
NVIDIA does have a bunch of FOSS libraries - like CUB and Thrust (now part of CCCL). But - they tend to suffer from "not invented here" syndrome [1] ; so they seem to avoid collaboration on FOSS they don't manage/control by themselves. I have a bit of a chip on my shoulder here, since I've been trying to pitch my Modern C++ API wrappers to them for years, and even though I've gotten some appreciative comments from individuals, they have shown zero interest. https://github.com/eyalroz/cuda-api-wrappers/ There is also their driver, which is supposedly "open source", but actually none of the logic is exposed to you. Their runtime library is closed too, their management utility (nvidia-smi), their LLVM-based compiler, their profilers, their OpenCL stack :-( I must say they do have relatively extensive documentation, even if it doesn't cover e
Read the rest
In The Missing Nvidia GPU Glossary

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