compute-runtime | Intel® Graphics Compute Runtime for oneAPI Level Zero | GPU library

by intel C++ Version: 19.32.13826.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | compute-runtime Summary

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

The Intel(R) Graphics Compute Runtime for oneAPI Level Zero and OpenCL(TM) Driver is an open source project providing compute API support (Level Zero, OpenCL) for Intel graphics hardware architectures (HD Graphics, Xe).

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compute-runtime has a medium active ecosystem.

It has 939 star(s) with 220 fork(s). There are 76 watchers for this library.

It had no major release in the last 12 months.

There are 47 open issues and 426 have been closed. On average issues are closed in 118 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of compute-runtime is 19.32.13826.1

Quality

compute-runtime has 0 bugs and 0 code smells.

Security

compute-runtime has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

compute-runtime code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

compute-runtime is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

compute-runtime releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 21 lines of code, 1 functions and 1 files.

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

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compute-runtime Key Features

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compute-runtime Examples and Code Snippets

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Community Discussions

Trending Discussions on compute-runtime

Using OpenCV with OpenCL on Intel UHD Graphics 630 along with nvidia GPU

QUESTION

Using OpenCV with OpenCL on Intel UHD Graphics 630 along with nvidia GPU

Asked 2020-Oct-28 at 22:38

I currently have a program running all the time using my Nvidia GPU. I would like to run another one aside, which would use OpenCV with OpenCL. I use Ubuntu 18.04 and my processor is an Intel i7-9750H (with UHD Graphics 630).

I run this C++ code to detect the available devices:

...

ANSWER

Answered 2020-Oct-28 at 22:38

This is a somewhat messy situation. There is a difference between using multiple OpenCL devices from a single platform and different platforms.

Question 2: Each OpenCL implementation/SDK/Runtime you install will show up as a platform. The context class of OpenCV is bound to a single platform and can only work with the corresponding devices. The constructor only allows to specify a device type, so it probably queries OpenCL and uses the first platform with that device type (or just the first). That's why OpenCV only shows the Nvidia device.

Question 1: Creating another context reflecting the Intel platform would be possible by using the OpenCL API directly and then calling OpenCV's fromHandle() or fromDevice() functions to create the OpenCV Context object (the clinfo source is an example for the required code). But, using different platforms means linking to different OpenCL libraries (indirectly at runtime through the compile-time linked libOpenCL). I.e. memory objects, etc. cannot be shared between the different contexts, so practical usability is rather limited unless you have independent problems that you'd like to compute in parallel on both devices.

Bonus: Your clinfo output shows 3 platforms (Nvidia OpenCL 1.2, Intel GPU OpenCL 3.0, Intel CPU OpenCL 2.1), and you see the warning:

Source https://stackoverflow.com/questions/64446808

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

Vulnerabilities

No vulnerabilities reported

Install compute-runtime

To allow NEO access to GPU device make sure user has permissions to files /dev/dri/renderD*.
.deb packages for Ubuntu are provided along with installation instructions and Release Notes on the release page.

Support

Intel Core Processors with Gen8 graphics devices (formerly Broadwell). Intel Core Processors with Gen9 graphics devices (formerly Skylake, Kaby Lake, Coffee Lake). Intel Atom Processors with Gen9 graphics devices (formerly Apollo Lake, Gemini Lake). Intel Core Processors with Gen11 graphics devices (formerly Ice Lake). Intel Atom Processors with Gen11 graphics devices (formerly Elkhart Lake). Intel Core Processors with Gen12 graphics devices (formerly Tiger Lake, Rocket Lake, Alder Lake).

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