qCUDA | GPGPU Virtualization at a New API Remoting Method | GPU library

by coldfunction C Version: Current License: No License

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kandi X-RAY | qCUDA Summary

qCUDA is a C library typically used in Hardware, GPU applications. qCUDA has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

qCUDA is based on the virtio framework to provide the para-virtualized driver as “front-end”, and the device module as “back-end” for performing the interaction with API remoting and memory management. In our test environment, qCUDA can achieve above 95% of the bandwidth efficiency for most results by comparing with the native. In addition, by comparing with prior work, qCUDA has more flexibility and interposition that it can execute CUDA-compatible programs in the Linux and Windows VMs, respectively, on QEMU-KVM hypervisor for GPGPU virtualization.

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Quality

Security

License

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Support

qCUDA has a low active ecosystem.

It has 19 star(s) with 13 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 17 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of qCUDA is current.

Quality

qCUDA has 0 bugs and 0 code smells.

Security

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

qCUDA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qCUDA does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

qCUDA releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 42726 lines of code, 1825 functions and 642 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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qCUDA Key Features

No Key Features are available at this moment for qCUDA.

qCUDA Examples and Code Snippets

No Code Snippets are available at this moment for qCUDA.

Community Discussions

Trending Discussions on qCUDA

Compile error with thrust::device_vector of thrust::complex, possibly due to a wrong implementation

QUESTION

Compile error with thrust::device_vector of thrust::complex, possibly due to a wrong implementation

Asked 2018-Jun-21 at 18:43

I'm actually learning CUDA and thrust, and I'm trying to make a project with .cpp, .hpp files and .cu, .cuh files. Therefore, I have done a first little implementation (see code below), however I have a compile error. Here is the output of my compile error.

Honestly, I don't know exactly what this kind of error means, but I found out that this came from this line:

...

ANSWER

Answered 2018-Jun-21 at 18:43

You need to rename main.cpp to main.cu to make this work. Otherwise you are importing CUDA code into a plain .cpp file, and the host C++ will fail to compile the code.

Source https://stackoverflow.com/questions/50974743

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

Vulnerabilities

No vulnerabilities reported

Install qCUDA

qcu-device was modified from QEMU 2.4.0, for further information please refer to QEMU installation steps
clone this repo.
cd qcu-device
./configure --enable-cuda --target-list=x86_64-softmmu && make -j16
sudo mkdir /dev/qcuvf
sudo chmod 777 /dev/qcuvf
clone this repo.
Enter qcu-driver and execute the commands: make all make i
Enter qcu-library and execute the commands: make all make install

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 .

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