moderngpu | Patterns and behaviors for GPU | GPU library

by moderngpu C++ Version: v2.13.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | moderngpu Summary

moderngpu is a C++ library typically used in Hardware, GPU applications. moderngpu has no bugs, it has no vulnerabilities and it has medium support. However moderngpu has a Non-SPDX License. You can download it from GitHub.

Full documentation with github wiki under heavy construction. moderngpu is a productivity library for general-purpose computing on GPUs. It is a header-only C++ library written for CUDA. The unique value of the library is in its accelerated primitives for solving irregularly parallel problems.

Support

Quality

Security

License

Reuse

Support

moderngpu has a medium active ecosystem.

It has 1459 star(s) with 267 fork(s). There are 109 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 21 have been closed. On average issues are closed in 418 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of moderngpu is v2.13.0

Quality

moderngpu has no bugs reported.

Security

moderngpu has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

moderngpu has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

moderngpu releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of moderngpu

Get all kandi verified functions for this library.

moderngpu Key Features

No Key Features are available at this moment for moderngpu.

moderngpu Examples and Code Snippets

No Code Snippets are available at this moment for moderngpu.

Community Discussions

Trending Discussions on moderngpu

CMake + CUDA "invalid device function" even with correct SM version

Permissions error with CMake and CUDA

QUESTION

CMake + CUDA "invalid device function" even with correct SM version

Asked 2019-Sep-16 at 08:21

I keep getting an "invalid device function" on my kernel launch. Google turns up a plethora of instances for this, however all of them seem to be related to a mismatch of the embedded SASS/PTX code embedded in the binary.

The way I understand how it works is:

SASS code can only be interpreted by an GPU with the exact same SM version 2
PTX code is forward-compatible, i.e. any newer GPU will be able to run the code (however, driver needs to JIT) 2
I need to specify what I want to target by passing suitable -arch commands to nvcc: -gencode arch=compute_30,code=sm_30 will create a SASS targeting SM 3.0, -gencode arch=compute_60,code=compute_60 will create PTX code 1
To use cuda with static and shared libraries, I need to compile for position-independent code and enable separable compilation

What I did now is:

Confirmed that I have SM 6.1 for my Titan Xp 5
Forced nvcc to generate compatible code 3
...

ANSWER

Answered 2019-Sep-16 at 08:19

Ultimately, as expected, this was due to a build system setup problem.

TLDR version:
I managed to fix it by changing the library with my CUDA code from STATIC to SHARED.

To fix it, I first used the automatic architecture detection from FindCuda CMake (which seems to have create SM 6.1, so I was at lest right there)

Source https://stackoverflow.com/questions/57915085

QUESTION

Permissions error with CMake and CUDA

Asked 2018-May-02 at 16:51

I'm trying to build a project with a static library using CUDA along with C++ code. It needs to link with an external library (moderngpu). The CUDA and C++ code each independently work fine, and have been previously compiled with make. However, when trying to build the code with CMake (through CLion, if it matters), I get the following error:

...

ANSWER

Answered 2018-May-02 at 16:51

I wrote the plugin CLion CUDA Run Patcher to provide a temporary fix for this bug in CLion until JetBrains provides a proper fix as tracked in CPP-10292.

The plugin was necessary because CLion ignored any target names from CMake including those specified by target property OUTPUT_NAME.

It's likely this problem won't be fixed until CLion has full CUDA support as tracked in CPP-866.

Source https://stackoverflow.com/questions/50010296

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install moderngpu

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: