Pyopencl opengl

PyOpenCL gives you easy, Pythonic access to the OpenCL parallel computation API. What makes PyOpenCL special? Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code Learning PyOpenGL. If you are new to PyOpenGL, you likely want to start with the OpenGLContext tutorial page . Those tutorials require OpenGLContext, (which is a big wrapper including a whole scenegraph engine, VRML97 parser, lots of demos, etc) you can install that with: $ pip2.7 install OpenGLContext-full==3.1.1

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PyOpenGL 3.x The Python OpenGL Binding About PyOpenGL. PyOpenGL is the most common cross platform Python binding to OpenGL and related APIs. The binding is created using the standard ctypes library, and is provided under an extremely liberal BSD-style Open-Source license OpenGL under Python is largely the same as OpenGL under most other languages, so you can use much of the documentation you'll find around the Internet, or in your local bookstore. This page primarily provides links to PyOpenGL-specific documentation. Users of OpenGLContext should also see the OpenGLContext documentation page. Reference PyOpenCL is open-source under the MIT license and free for commercial, academic, and private use. Broad support. PyOpenCL was tested and works with Apple's, AMD's, and Nvidia's CL implementations

PyOpenCL: Pythonic Access to OpenCL, with Arrays and Algorithms. PyOpenCL lets you access GPUs and other massively parallel compute devices from Python. It tries to offer computing goodness in the spirit of its sister project PyCUDA: Object cleanup tied to lifetime of objects I want to pass a OpenGL texture to OpenCL in Python Therefore I create a texture in OpenGL using a frambuffer: fbo =glGenFramebuffersEXT(1)) glBindFramebufferEXT(GL_FRAMEBUFFER_EXT... Stack Overflow Abou Running the same code on different inputs is exactly what OpenCL (or Cuda, or pyopenCL) is meant for. What you are trying to do is called Single Instruction Multiple Data (SIMD). There is a lot of support to OpenCL as it is and especially for pyopenCL, wheras getting a good starting point is tricky

pyopencl installed and working; Clone repository from GitHub; CPU program (host) Large parts of the CPU or host code can be regarded as boilerplate code. Setting up the main OpenCL data-structures is done the same way most of the time. Also, preparing the input and output data follows a certain pattern, the same applies for GPU program compilation, execution and data transfer. You should be able to implement other algorithms like edge-detection or brightness adjustment using the. The interoperability of PyCUDA and OpenGL works over buffer objects. In particular, you create an OpenGL buffer object with glGenBuffers(), then bind the same thing to PyCUDA with the pycuda.gl.BufferObject. Details can be found in the quick_pygl_sdl.py example, which accesses a RGBA char texture buffer from both OpenGL and CUDA. The example is a bit low on performance (render into framebuffer, copy into texture buffer, apply CUDA operation, copy back to screen), but gives a good general idea OpenCL™ and OpenGL* are two common APIs that support efficient interoperability. OpenCL is specifically crafted to increase computing efficiency across platforms, and OpenGL is a popular graphics API. This tutorial provides an overview of basic methods for resource-sharing and synchronization between these two APIs, supported by performance numbers.

PyOpenGL · PyP

OpenCL ist eine Schnittstelle für uneinheitliche Parallelrechner, die z. B. mit Haupt-, Grafik- oder digitalen Signalprozessoren ausgestattet sind. Dazu gehört die Programmiersprache OpenCL C. OpenCL wurde ursprünglich von der Firma Apple entwickelt, um die Leistung der aktuellen Grafikprozessoren auch für nicht-grafische Anwendungen nutzbar zu machen. In Zusammenarbeit mit den Firmen AMD, IBM, Intel und Nvidia wurde der erste Entwurf ausgearbeitet und schließlich von Apple bei. With OpenCL-OpenGL interoperability, one can execute OpenCL code on the same data buffers than those used by OpenGL for graphics rendering. The GPU is responsible for both OpenCL computations and rendering, and the data stays in GPU memory at all times. If one does not have an OpenCL-compatible graphics card, then the code still works as expected OpenGL, knowing that we're drawing lines here will draw lines between those points. After running through all edges, we're done, so we call glEnd() to notify OpenGL that we're done telling it what to do. For each type of OpenGL code that you plan to use, you will need opening and closing GL commands like this. That's it for our cube function. This function will create the cube, but now we. OpenCL™ (Open Computing Language) is a low-level API for heterogeneous computing that runs on CUDA-powered GPUs. Using the OpenCL API, developers can launch compute kernels written using a limited subset of the C programming language on a GPU. NVIDIA is now OpenCL 3.0 conformant and is available on R465 and later drivers Parallel Programming with (Py)OpenCL for Fun and Profit - YouTube

A wide selection of OpenCL libraries and toolkits now exist to support OpenCL development. Enclosed is the complete list those that we are aware of OpenCL global buffers are the conduit through which data is communicated from the host application to OpenCL C kernels running on the C66x DSP. The C prototype for the OpenCL API function that creates global buffers is: cl_mem clCreateBuffer (cl_context context, cl_mem_flags flags, size_t size, void *host_ptr, cl_int *errcode_ret); The C++. OpenCL and OpenGL in PythonI remember about 6 years ago when a tech company representative came and showed a demo of manderbolt set to show the power of the.

PyOpenGL -- The Python OpenGL Bindin

PyOpenGL Documentation - The Python OpenGL Bindin

Getting started with OpenCL and GPU Computing. OpenCL (Open Computing Language) is a new framework for writing programs that execute in parallel on different compute devices (such as CPUs and GPUs) from different vendors (AMD, Intel, ATI, Nvidia etc.). The framework defines a language to write kernels in. These kernels are the functions. A pyopencl user will have his device identified already by environment variables. For the introduction, we may start from step 3. Let us go ahead and do that, # import the required modules import pyopencl as cl import numpy as np #this line would create a context cntxt = cl.create_some_context () #now create a command queue in the context queue. This is collection of WebGL Samples. Feel free to add more. Ok let's go; More info; WebGL Resources. WebGL Fundamentals (start here to learn WebGL On AMD side it a little bit different story. They didn't talk anything about dynamic parallelization but on the other side they introduced GCN 2.0 which might have support for it. In addition they introduced Mantle - a new GPU API which promises up to 9 times more draw calls than comparable API's (OpenGL, DirectX). This might smell that draw. OpenCL or Open Computing Language was originally developed by Apple, Inc. OpenCL is a so-called GPGPU specification that enables programmers to tap the power of the GPU as a data-parallel coprocessor without having to learn to speak the specialized language of graphics, i.e., OpenGL or a DirectX flavor. Unlike CUDA and STREAM which requires specific vendor hardware to perform High.

It is interoperable with Microsoft DirectX*, OpenGL*, and video acceleration APIs. As well, it is extendable, such as with video motion estimation extensions from Intel. What's New. Latest version of the SDK: Download | Instructions; Runtimes for the CPU and GPU: Download; Release Notes . Features. Develop and optimize OpenCL™ applications on Intel® platforms in a comprehensive. For creating an OpenCL context that shares data with OpenGL, we need get_gl_sharing_context_properties : from pyopencl.tools import get_gl_sharing_context_properties. We can usually import classes and functions contained in glitter submodules directly from glitter: from glitter import ArrayBuffer, VertexArray, get_default_program. Modules with. OpenCL samples in Python. Contribute to virus-warnning/pyopencl_samples development by creating an account on GitHub Program¶ class pyopencl.Program (context, src) ¶ class pyopencl.Program (context, devices, binaries). binaries must contain one binary for each entry in devices.If src is a bytes object starting with a valid SPIR-V magic number, it will be handed off to the OpenCL implementation as such, rather than as OpenCL C source code. (SPIR-V support requires OpenCL 2.1.

pyopencl · PyP

  1. It is intended for those who have either never done 3D graphics with OpenGL, or who have only done legacy OpenGL rendering (i.e. you learned OpenGL before about 2007). It walks through the development of low-level code to perform Blinn-Phong rendering of DirectionalLights, PointLights and SpotLights as well as the basics of geometric rendering (with Vertex Buffer Objects). Requirements/Setup.
  2. PyOpenGL. PyOpenGL is a large Python package that wraps most (up to version 1.2) of the OpenGL API. However, it doesn't try to clean up the API and present a more Pythonic interface, so it won't save you (or, more importantly, me) from having to learn the details of OpenGL. It does abstract the API so you call glColor in place of glColor3b, glColor3d, glColor3f, glColor3i, glColor3s,.
  3. Now it's time to put the pedal to the metal and start developing some proper OpenCL applications. The basic steps would be the following: Make sure you have a machine which supports OpenCL, as described above. Get the OpenCL headers and libraries included in the OpenCL SDK from your favourite vendor

PyCUDA and PyOpenCL no longer depend on Boost C++ Eliminates major install obstacle Easier to depend on PyCUDA and PyOpenCL easy install pyopencl works on Macs out of the box Boost is still there{just not user-visible by default. Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Pytho piglit - Open-source test suite for OpenGL and OpenCL implementations libpocl-dev - development files for the pocl library libpocl2 - Portable Computing Language library libpocl2-common - common files for the pocl library pocl-doc - documentation for the pocl library pocl-opencl-icd - pocl ICD python-pyfftw - Pythonic wrapper around FFTW - Python 2 python-pyfftw-doc - Pythonic wrapper around. Opengl Es 3 0 Tutorial Summary Of : Opengl Es 3 0 Tutorial Apr 06, 2020 ## PDF Opengl Es 3 0 Tutorial ## By R. L. Stine, for a quick overview of all new language constructs you can take a look at the opengl es 30 reference card and compare it to the opengl es 20 reference card the following is a tutorial that shows you how to update a simple shade opengl (472) gpu (370) cuda (360 sorting (51) amd (50) shared-memory (20) Pyopencl and other potentially trademarked words, copyrighted images and copyrighted readme contents likely belong to the legal entity who owns the Inducer organization. Awesome Open Source is not affiliated with the legal entity who owns the Inducer organization..

Improved OpenGL interoperability through efficient sharing of images and buffers by linking OpenCL and OpenGL events. OpenCL 1.2. On November 15, 2011, the Khronos Group announced the OpenCL 1.2 specification, which added significant functionality over the previous versions in terms of performance and features for parallel programming. Most. The OpenCL Installable Client Driver (ICD) is a mechanism to allow OpenCL implementations from multiple vendors to coexist on a system. A vendor OpenCL implementation is an OpenCL Installable Client Driver if it implements the extension cl_khr_icd, which is described in the OpenCL extension registry Use of OpenGL and DirectX objects. OpenCL can directly access objects from OpenGL or DirectX (only under Windows), such as textures. This means that OpenCL can be used, for example, to change textures without having to copy the data. Extensions. Like OpenGL, OpenCL can also be supplemented with additional functions through manufacturer-specific extensions. Examples of extensions that have. 2 PyOpenCL parallel programming of heterogeneous systems matrix matrix multiplication 3 PyCUDA about PyCUDA matrix matrix multiplication 4 CuPy about CuPy MCS 507 Lecture 11 Mathematical, Statistical and Scientific Software Jan Verschelde, 20 September 2019 Scientific Software (MCS 507) GPU Acceleration in Python L-11 20 September 2019 1 / 30. GPU Accelerations in Python 1 Graphics. OpenCL™ (Open Computing Language) is a low-level API for heterogeneous computing that runs on CUDA-powered GPUs. Using the OpenCL API, developers can launch compute kernels written using a limited subset of the C programming language on a GPU. NVIDIA is now OpenCL 3.0 conformant and is available on R465 and later drivers. This is supported on x86/x86_64 Linux and Windows onl

GitHub - inducer/pyopencl: OpenCL integration for Python

  1. g paradigm or work with.
  2. pyOpenCL 입문 1. pyOpenCL 2015/06/15 By SJ (seongjun.kim.0312@gmail.com) 가난한 고학생들을 위해 인텔 GPU로 시작하는 저렴한 병렬처리 1 2. OpenCL? • OpenCL은 애플이 제안하고 여러 반도체 업체가 동참한 병렬처리에 대한 산업 표 준 입니다. • 그래픽 카드를 이용한 병렬처리(gpgpu.
  3. A valid OpenCL context on which the image object is to be created. A bit-field that is used to specify allocation and usage information about the image memory object being created and is described in the table below. For all image types except CL_MEM_OBJECT_IMAGE1D_BUFFER , if value specified for flags is 0, the default is used which is CL_MEM.
  4. This project has been written in C++, using OpenGL for the graphics, and compiled in Microsoft Visual Studio C++ 6.0. The physics engine is object oriented, contains 14 mathematics and physics related classes, and over 10,000 lines of code. Some classes have been written despite the fact they exist (in some form) in the Standard Template Library. This was not my attempt at being a.

OpenGL Texture for OpenCL in Python - Stack Overflo

  1. OpenCL for macOS - Apple Developer. OpenCL lets you tap into the parallel computing power of modern GPUs and multicore CPUs to accelerate compute-intensive tasks in your Mac apps.Use OpenCL to incorporate advanced numerical and data analytics features, perform cutting-edge image and media processing, and deliver accurate physics and AI.
  2. 9.3 PyOpenCL 210 PyOpenCLinstallation andlicensing 210 OverviewofPyOpenCL development 211 • CreatingkernelswithPyOpenCL 212 • Setting argumentsandexecutingkernels 215 9.4 Summary 219 Generalcodingprinciples 221 10.1 Globalsizeandlocalsize 222 Findingthemaximumwork-groupsize 223 • Testingkernels and devices 224 10.2 Numericalreduction 225 OpenCLreduction 226 • Improvingreduction.
  3. Ich habe pyopencl auf meinem Laptop eingerichtet, indem ich python-pyopencl von multiverse und die amd app sdk installiert habe. Um die Nvidia-ICDs zu erhalten, habe ich den neuesten Nvidia-Treiber vom Treibermanager neu installiert. Mein System ist ein Thinkpad t540p, i7 4700hq, Nvidia GT 730m, 64bit Ubuntu 14.0
  4. g language
  5. Open source implementation of the OpenGL graphics API

python - GPU programming with pyopencl - Stack Overflo

OpenGL has a bigger learning curve as it is having a lot of features, including WebGL has. WebGL is based on OpenGL ES 2, which is not plain OpenGL. OpenGL ES is the subset of OpenGL. OpenGL ES has fewer capabilities and is very simpler for a user. OpenGL has a lot of capabilities and difficult to use. WebGL vs OpenGL Comparison Table. Below is the top Comparison between WebGL vs OpenGL. Download: Download the latest version of PyParticles From GitHub or sourceforge: Download HERE Or if you prefer clone the project from github: And follow the following and very simple instructio > I realize the scope of PyOpenCL is rather large, and I don't need > anything nearly that complete, just the ability to execute OpenCL code > on the GPU and get results back to Tcl. I do not know if there is an extension for OpenCL already. For some tasks, you could try Tcl3D which is a fairly complete interface to OpenGL. Basically it provides a wrapping to the low-level C API. For some. linux-32 v3.1.1a1. win-64 v3.1.1a1. To install this package with conda run: conda install -c anaconda pyopengl PyOpenCl: Wie kann man einen Segmentierungsfehler beheben? Warum hat Google RenderScript anstelle von OpenCL gewählt? Codierung von FBO-Texturen zu H.264-Video direkt auf der GPU ; Ausrichten von GPU-Speicherzugriffen auf einen Image Convolution(OpenCL/CUDA) Kerne

GPU Image Processing using OpenCL by Harald Scheidl

Gentoo Packages Database. Python wrapper for OpenCL https://mathema.tician.de/software/pyopencl Bibliotheken wie OpenGL erfüllen nur spezielle Aufgaben, v.a. eben Zeichenoperationen. Davon kann ein Browser Gebrauch machen, aber bei einem Virenscanner ist beschleunigte Grafikausgabe reichlich nutzlos. Spezielle Sprachen bzw. Laufzeitumgebungen können zwar in der Theorie beliebige Aufgaben an die GPU übergeben. Praktisch müssen Anwendungen aber speziell für solche Umgebung geschrieben. As a relatively new OpenCL user I was looking online for a guide to setting up OpenCL in visual studio. I have about 9 years development experience, so I thought this wouldn't be much of an issue but I did have a little trouble due to a few details of the setup not being common knowledge OpenGL vendor string: NVIDIA Corporation OpenGL renderer string: GeForce GTX 1050/PCIe/SSE2 OpenGL core profile version string: 4.5.0 NVIDIA 390.25 OpenGL core profile shading language version string: 4.50 NVIDIA OpenGL core profile context flags: (none) OpenGL core profile profile mask: core profile OpenGL core profile extensions: OpenGL version string: 4.6.0 NVIDIA 390.25 OpenGL shading.

Python, OpenGL and CUDA/OpenCL - land-of-kai

Re: [PyOpenGL-Users] Undefined glutInit. Hi, It is unclear to me whether this is your code or someone else's, and I am not personally familiar with OSX. The usual culprit for `NullFunctionError`s is the lack of an OpenGL context, but I don't think `glutInit (...)` is one of the ones that requires (or indeed can succeed) the creation of one 2. Enable epel 7 repo and. yum install opencl-headers. About apt from rpmforge is apt-rpm which be able to install rpms from apt repos and haven't much success. I don't see how that could be useful for you . The apt-get , as debian do , exist in my copr for example , but apt install won't work because apt database haven't any package , and you. Return True if PyOpenCL was compiled with OpenGL interoperability, otherwise False. pyopencl.get_gl_sharing_context_properties ¶ Return a list of context_properties that will allow a newly created context to share the currently active GL context. pyopencl.get_apple_cgl_share_group ¶ Get share group handle for current CGL context. Apple OS X only The author of PyOpenCL has also coded PyCUDA, a Python wrapper for NVIDIA CUDA or MeshPy (triangular and tetrahedral mesh generation for Python). Here is the Python source code of the code sample that comes with the PyOpenCL package: import pyopencl as cl import numpy import numpy.linalg as la a = numpy.random.rand(50000).astype(numpy.float32) b = numpy.random.rand(50000).astype(numpy.float32.

pyopencl setup. GitHub Gist: instantly share code, notes, and snippets. Skip to content. All gists Back to GitHub Sign in Sign up Sign in Sign up {{ message }} Instantly share code, notes, and snippets. patrickmmartin / PYOPENCL.md. Last active Oct 8, 2018. Star 1 Fork 0; Star Code Revisions 17 Stars 1. Embed. What would you like to do? Embed Embed this gist in your website. Share Copy. OpenCL on GPU instance. Raw. GPU-EC2.sh. # This script installs everything you need on an EC2 GPU Instance. # Create an Ubuntu 12.04 GPU Instance with at least 16GB of free space. # Base packages. sudo apt-get update. sudo apt-get install build-essential Hi everyone! In this series of posts, I will introduce you to the new cutting edge API OpenCL which is being rigorously developed by technology giants like AMD, Nvidia, Intel and IBM right now

OpenCL™ and OpenGL* Interoperability Tutoria

The main motivation for this post is how difficult was for me run pyopencl on my fresh ubuntu 13.04 installation. First of all nvidia drivers don't work well on ubuntu; I am still unable to run nvidia-settings in order to change xorg.conf to run ubuntu-desktop with nvidia card. Let's start sharing what I did to achieve running pyopencl programs on ubuntu. Since my graphics card is an. CUDA/OpenCL vs OpenGL compute shader for Path tracer. 1. Writing OpenCL Shaders. 1. Can I use my phone's gpu as an external gpu for my laptop? 2. OpenCL ray tracer: which is better, geometry code on device side or on host side? 2. What does GPU serialized mean? Hot Network Questions Why is Python recursion so expensive and what can we do about it? What is your approach to low-priority bugs? He. CLCC is a compiler for OpenCL kernel source files. It is intended to be a tool for application developers who need to incorporate OpenCL source code into their programs and who want to verify their OpenCL code actually gets compiled by the driver before their program tries to compile it on-demand PyOpenGL/OpenGL Generating Cosmic NBodys. Ask Question Asked 6 years, 11 months ago. Active 6 years, 2 months ago. Viewed 522 times 1 $\begingroup$ I am working on a Universe Simulator. I'm stuck on creating the dark matters webs of the universe that look like this:.

opencl.MemoryObject¶ class opencl.MemoryObject¶. Memory objects are categorized into two types: buffer objects, and image objects. A buffer object stores a one-dimensional collection of elements whereas an image object is used to store a two- or three- dimensional texture, frame-buffer or image Improved OpenGL data/event interop . 18 months 18 months . 24 months . Roadmap Discussions SW and HW features Will use Provisional Specs Some common requests: - C++ Kernel Language - Refine and evolve Memory and Execution Models - Better debug and profiling - Trans-API Interop . HPC . Desktop . Mobile . Web HPC . Desktop. Mobile . Web . FPGA . HPC . Desktop Mobile . Web FPGA . Embedded Safety. This is a old tutorial I wrote about how to install python on windows 8.1 with distribute, pip, virtualenv and virtualenvwrapper-powershell. Now I will show you how to deal with WHL files and pip wheel. First you need to install pip under your python folder. I used in this case Python 2.7 version

OpenCL - Wikipedi

OpenGL Installation Guide in Ubuntu. Step 1: To create OpenGL development environment we need to get some necessary libraries including freeglut so, Open Terminal and enter the following commands: sudo apt install binutils-gold g++ cmakelibglew-dev g++ mesa-common-dev build-essential libglew1.5-dev libglm-dev. Step 2: If the step 1 successfully. Running OpenCL On A Raspberry Pi GPU. This is an interesting development for media users and machine learning hackers: [doe300] has implemented OpenCL on the Raspberry Pi 3 Model B+called VCFCL. he OpenGL graphics system is a software interface to graphics hardware. (GL stands for Graphics Library.) It allows you to create interactive programs that produce color images of moving, three-dimensional objects. With OpenGL, you can control computer-graphics technology to produce realistic pictures, or ones that depart from reality in imaginative ways. The OpenGL Series from. Python 3.6.9 : My colab tutorials - part 013. In this tutorial created with the online tool google colab, we exemplified again how to access the IMDB dataset, which contains from the ind.. I am trying to install PyOpenCL on a Linux machine (Manjaro, arch-based) for several days now. I have an Nvidia GeForce GT640, I have installed the last drivers, OpenCL, OpenGL, everything. I have installed PyOpenCL with the --cl_enable_gl flag. I have the correct drivers and OpenGL libraries (as far I can see from glxinfo | grep OpenGL). My problem is that I cannot run any code involving.

Download this free SDK to: Improve speed and responsiveness for graphics/image and video processing, including gaming, entertainment, scientific, medical, and financial applications. Prototype on CPU and deploy (offload compute) to GPU, balancing workloads to best utilize available resources. Streamline application development using OpenCL. Python: python-pyopencl; D: cl4d or DCompute; Java: Aparapi or JOCL (a part of JogAmp) Mono/.NET: Open Toolkit; Go: OpenCL bindings for Go; Racket: Racket has a native interface on PLaneT that can be installed via raco. Rust: ocl; Julia: OpenCL.jl; SYCL. SYCL is another open and royalty-free standard by the Khronos Group that defines a single-source heterogeneous programming model for C++ on. Android OpenGL ES 2.0 - Render To Texture. NOTE: This tutorial builds up on my previous tutorial on how to setup OpenGL ES 2.0 on Android. I'll first link to the apk, source code and the repository: apk here. Source code here. Google Code Repository here. NOTE: Branch is renderToTex Rendering to a texture is important when it comes to various graphics techniques and algorithms. NVIDIA OpenCL Best Practices Guide iv August 16, 2009 Additional Texture Capabilities 26 3.2.5 Constant Memory 27 3.2.6 Registers 2 Before considering using PyCL for anything, give PyOpenCL a look. Its API is stable, its wrapper layer is fast C++, and it has fairly reasonable dependencies. If you're looking to contribute, or just get the latest development release, take a look at our repository. Installation¶ It's on PyPI, so installation should be as easy as: pip install pycl -or- easy_install pycl But it's a.

I definitely lack the knowledge to make my own wrapper, but I am a bit lost in tihrd-party implementations. Cloo seems like a very good option, since it's basically allows me to write OpenCL code inside my C# project (even though I lose benefits of Intellisense), but Nuget page says the last update was in 2013, which makes me thing that the. NOTE: This tutorial builds up on my previous tutorial on how to setup OpenGL ES 2.0 on Android. I'll first link to the apk, source code and the repository: apk here. Source code here. Google Code Repository here. NOTE: Branch is renderToTex Rendering to a texture is important when it comes to various graphics techniques and algorithms (Shadow Mapping, cube map generation, Deferred.

The bug has been closed via the following commit(s): https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=f337d99feab3e650497b6c3091448124c2aad1ee commit. python3-opengl <-> python3-pyopencl. Version of python3-opengl: 3.1.5+dfsg-1. Architecture of python3-opengl: all. Version of python3-pyopencl: 2021.1.2-1. Architecture of python3-pyopencl: amd6 Traduzioni in contesto per OpenCL in inglese-italiano da Reverso Context: Improves VGA card compatibility when using OpenCL accelerated effects

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