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Opencl c смотреть последние обновления за сегодня на .
In this tutorial I will show you where to download OpenCL SDK, how to configure your path and set vscode configurations to compile and run C and C programs on Windows. Enjoy! _ 0:00 - Check OpenCL.dll 0:28 - Download OpenCL SDK 1:09 - Set path variables 2:21 - Edit includePath in VSCode 2:50 - Set task in VSCode _ 0. I recommend to have up to date drivers for your GPU 1. Check that OpenCL is installed for you GPU 1.1. Open Device Manager 1.2. GPU 1.3. Properties 1.4. Drivers 1.5. Details 1.6. Find "OpenCL.dll" 2. Downoad updated OpenCL SDK from CUDA Toolkit 2.1. [🤍 2.2. Verify the hash: 2.2.1. In Powershell enter : Get-FileHash .\OpenCL.zip 2.2.2. You should get: 2E386BBB7703EB472A607A15C7ECD28C8881880179AAA9225987B4A7C5342328 2.4. Move it to a path without spaces (important). I decided to place it under C:\OpenCL\ 3. Set path variables 3.1. From Environment variables 3.1.1. Open environment variables 3.1.2. Create OPENCL_LIB64=C:\OpenCL\lib\x64 3.1.3. Create OPENCL_INC=C:\OpenCL\inc\ 3.2. From PowerShell 3.2.1. Open PowerShell as Administrator (important) 3.2.2. Enter : $env:OPENCL_BIN="C:\OpenCL\lib\x64" 3.2.3. Enter : $env:OPENCL_INC="C:\OpenCL\inc\" 3.3. You can verify that the varaibles are set 3.3.1. Open cmd 3.3.2. Enter : set opencl 4. Set task in vscode 4.1. Close and reopen vscode to update changes 4.2. Go in you workspace 4.3. Edit IncludePath settings 4.3.1. Open IntelliSense configurations or open c_cpp_properties.json 4.3.2. Under "Include path", add : ${OPENCL_INC} 4.3.2. Clic outside the textarea for changes to be saved (important) 4.4. Create a new task 4.4.1. Go to : Terminal : Configure tasks... 4.4.2. Add : "-I", "${OPENCL_INC}", "-L", "${OPENCL_LIB64}", "-lOpenCL", 5. Compile and run your program 5.1. Run your task, go to : Terminal : Run built task or press Ctrl+Shift+B 5.2. In terminal execute : your_program.exe 6. Errors and questions, some people asked me for few issues: 6.1. Of course you need gcc (GDB) on your computer 6.2. Make sure to have a x64 version, and edit your path if needed
In this quick and simple introductory tutorial, I show you how to look up some details about your GPU using OpenCL and C.
In this video, you learn about the OpenCL™ C kernel language. Topics include work items and work groups, data types, vector operations, address spaces, type conversions, built-in functions and extensions
This video builds upon the high-level overview of OpenCL that you saw in the first video, and describes OpenCL C. You aren't going to learn everything about OpenCL C in this video, but you will be given enough background to really start to figure it out. I am still getting used to doing these lectures, so bear with me when I stumble or correct myself with a monotone voice. NOTES: [1] The Image Problem. Scroll down the page in this blog: 🤍 🤍
In this video, you learn what OpenCL™ is and why it was designed the way it is. We go through design goals and the execution model of OpenCL™. Topics covered include basic terminology, data-parallelism, execution domains and synchronization.
На вебинаре расскажем, как использовать видеокарту в качестве полноценного вычислительного устройства, мощности которого чаще всего простаивают. Разберёмся, почему графические процессоры применимы не только к играм, но и к машинному обучению, обработке научных данных, криптовалюте, и напишем свою программу для видеокарты. Ведущий Георгий Осипов Разработчик в Лаборатории компьютерной графики и мультимедиа ВМК МГУ и автор факультета «Разработчик C» в Яндекс.Практикуме. Полезные материалы: 1. «Разработчик C» в Яндекс.Практикуме: 🤍 по промокоду CPP5 действует скидка 5% до 30 июня. 2. Презентация к вебинару: 🤍 3. Удобная шпаргалка по OpenCL от Khronos group: 🤍 4. Документация по OpenCL: 🤍 5. Примеры кода для OpenCL от NVidia: 🤍 6. Лекции Николая Полярного (архитектура, OpenCL, ShaderToy, конвертер OpenCL - CUDA): 🤍 7. Лекции Алексея Ивахненко (архитектура, история, CUDA, библиотеки): 🤍 8. Лекции NVidia (слайды): 🤍 9. Библиотека clew (быстрая сборка кода с OpenCL): 🤍 10. CUDA Toolkit (медленная сборка кода с OpenCL, но зато CUDA и ещё много инструментов): 🤍 11. Драйвер для процессоров Intel: 🤍
How to write compute kernels in OpenCL for parallelism, OpenCL utility functions and intrinsics.
In this video, you learn about the OpenCL™ C kernel language. Topics include work items and work groups, data types, vector operations, address spaces, type conversions, built-in functions and extensions. For the first video in the series visit: 🤍 You can also view the entire video series here: 🤍
My Webinar talk at ChEESE - Center of Excellence in Solid Earth on 28.06.2023. Timestamps 0:00:00 Intro by Giorgio 0:02:17 Start 0:02:47 Who am I? 0:05:41 My OpenCL Project 0:07:14 OpenCL History 0:08:29 Big Advantages of OpenCL 0:10:40 CPU vs. GPU 0:13:45 OpenCL Memory Model 0:15:41 OpenCL Platform/Device/Context/Program 0:18:59 OpenCL Code Structure 0:20:53 OpenCL C Language 0:23:02 A simple OpenCL C Kernel 0:24:46 Functions in OpenCL C 0:25:26 OpenCL C API 0:26:55 Coalesced/Misaligned Memory Access 0:29:49 Branching in OpenCL - bad? 0:32:01 The Race Condition - a GPU-specific Bug 0:34:35 Roofline Model 0:45:08 OpenCL Workgroups 0:46:29 Register Pressure 0:49:52 Cache Tiling - local Memory Optimization 0:51:11 Multi-GPU with OpenCL 0:58:14 Case Study: Solid Voxelization of Triangle Mesh 1:05:29 Sime final Tipps 1:12:20 Question: GPU-aware MPI? 1:15:29 Question: OpenCL vs. CUDA Performance? 1:16:35 Question: How portable is OpenCL REALLY? 1:19:12 Question: Are all FLOPs created equal? 1:22:17 Question: How to use local Memory? 1:26:11 Question: How to profile OpenCL? 1:29:05 Question: Race Condition - Mutex? 1:32:13 Conclusions #OpenCL #GPU #FluidX3D
This video was presented at the online version of IWOCL / SYCLcon 2020. Authors: Anastasia Stulova, Neil Hickey, Sven van Haastregt, Marco Antognini and Kevin Petit (Arm) Additional Information and Slides: 🤍 Presentation Abstract The OpenCL programming model has traditionally been C based. On the host side however, C gained quite a lot of popularity lately, with C bindings becoming available [1]. The kernel side language has been primarily C99 based for a very long time up until last year when in Clang 9 experimental support of C for OpenCL has been released [2]. The main motivation for adding this language mode is to allow developers to leverage modern C features when writing complex applications for GPUs and other accelerators. In contrast to the OpenCL C language released under public Khronos specification in 2015, C for OpenCL does not break backwards compatibility with OpenCL C and therefore opens up a gradual transition path for existing applications and allows reusing existing libraries written in OpenCL C. It works just the same way as C and C. The C for OpenCL language combines C17 and OpenCL C v2.0. It can be used to compile kernel code to SPIR-V that can then be loaded by OpenCL v2.0 compatible drivers with some limitations. However, driver updates are also planned in the future to allow taking full advantage of C functionality. In this presentation we explain the main design philosophy and features of the new language along with its restrictions. The documentation is open and it is hosted on the Khronos github repository [3]. It is available for everyone to contribute to. We plan to explain how Clang and other open source tools can be used to compile the code written in the new language and how the compiled output can be used with existing OpenCL capable devices. In the conclusion we will also draw a comparison with other similar languages, such as SYCL or CUDA, and try to provide some recommendations of language choice depending on use cases. Additionally, we will present some early experiments with the new language used for OpenCL applications and invite developers for evaluation and feedback about future directions for this development. [1] 🤍 IWOCL Newsletter Signup to receive regular updates on IWOCL, OpenCL and SYCL at: 🤍
Presented at: IWOCL / SYCLcon 2022. Additional Information and Slides: 🤍 IWOCL Newsletter Signup to receive regular updates on IWOCL, OpenCL and SYCL at: 🤍
In this video, you learn about the OpenCL™ C kernel language. Topics include work items and work groups, data types, vector operations, address spaces, type conversions, built-in functions and extensions. For the next video in the series visit: 🤍 For the first video in the series visit: 🤍 You can also view the entire video series here: 🤍
clGetProgramBuildInfo(3) Manual Page 🤍 clCreateProgramWithSource(3) Manual Page 🤍 clBuildProgram(3) Manual Page 🤍 Kernel Files OpenCL 1.2 Reference Pages 🤍 OpenCL 2.2 Reference Pages 🤍 OpenCL Programming Guide Download PDF - 🤍 Download Sample Code - 🤍 OpenCL in Action Download PDF - 🤍 Download Sample Code - 🤍 Prerequisites: CUDA Tutorial 126 - (SETUP) Hello CUDA on Command Prompt on Windows (Hands-on Tutorial) 🤍 CUDA Tutorial 131 - Create and Consume CUDA DLL, C20 Constrained auto Declarations 🤍 OpenCL 132 - Mandatory Elision of Copy/Move Operations, Constrained auto Return Type 🤍 OpenCL 133 - Use noexcept and RAII Together - Build OpenCL C Kernel (Advanced C Exception) 🤍 OpenCL 134 - Prevent Resource Leak with RAII, std::addressof(), operator&(), Query Reference Count 🤍 OpenCL 135 - Reference-Counted Move Semantic and Class Factory for OpenCL Programming 🤍 OpenCL 136 - How to Use clGetProgramBuildInfo() and Kernel Command-Line Switches 🤍 Download Source Code: Episode OpenCL 137 - Build Multiple OpenCL C Kernel Files using a Single program Object 🤍 Episode OpenCL 136 - How to Use clGetProgramBuildInfo() and Kernel command-line Switches 🤍 Episode OpenCL 135 - Reference-Counted Move Semantic and Class Factory for OpenCL Programming 🤍
OpenCL™ is a standard for writing parallel programs for heterogeneous systems. In the FPGA environment, OpenCL constructs are synthesized into custom logic. This course introduces to the students the basic concepts of parallel computing including the approaches to solving the challenges involved with programming. An overview of the OpenCL standards will be discussed along with the advantages of using the Intel FPGA OpenCL solution. *OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission of Khronos. For technical questions, contact the Intel Community: 🤍
Writing a simple Hello World parallel program in OpenCL for GPUs: device setup, kernel compilation, copying data.
In this video, we talk about how why GPU's are better suited for parallelized tasks. We go into how a GPU is better than a CPU at certain tasks. Finally, we setup the NVIDIA CUDA programming packages to use the CUDA API in Visual Studio. GPUs are a great platform to executed code that can take advantage of hyper parallelization. For example, in this video we show the difference between adding vectors on a CPU versus adding vectors on a GPU. By taking advantage of the CUDA parallelization framework, we can do mass addition in parallel. Join me on Discord!: 🤍 Support me on Patreon!: 🤍
This is my first YouTube lecture. It provides a high-level overview of OpenCL 1.2, the standard, and the models within it. This lecture provides you with a solid foundation to learn heterogeneous computing, OpenCL C, and how to write high-performance software with OpenCL. I start off a bit monotone, but actually talk normally a bit later in the video. You can check my blog at: 🤍
We will learn how to use C exception (noexcept) with #RAII together. We will also build #opencl c kernel. How to Use Keyword #noexcept 1 🤍 Windows API 13 - How to use noexcept properly in C programming 🤍 OpenCL 1.2 Reference Pages 🤍 OpenCL 2.2 Reference Pages 🤍 OpenCL Programming Guide Download PDF - 🤍 Download Sample Code - 🤍 OpenCL in Action Download PDF - 🤍 Download Sample Code - 🤍 Prerequisites: CUDA Tutorial 126 - (SETUP) Hello CUDA on Command Prompt on Windows (Hands-on Tutorial) 🤍 OPENCL 127 - Compare OpenCL, SYCL, CUDA - Query OpenCL Platform - Mistake with std::string 🤍 OPENCL 128 - Query OpenCL Device - Advanced Function Overloading with Tagged Type Dispatch 🤍 OPENCL 129 - Select OpenCL Device, C20 Concepts, Tokenize std::string 🤍 OPENCL 130 - OpenCL Context, Resource Leak of Reference Counted Objects, RAII, Prototype Parameter 🤍 CUDA Tutorial 131 - Create and Consume CUDA DLL, C20 Constrained auto Declarations 🤍 OpenCL 132 - Mandatory Elision of Copy/Move Operations, Constrained auto Return Type 🤍 Download Source Code: Episode OpenCL 133 - Use noexcept and RAII Together - Build OpenCL C Kernel (Advanced C Exception) 🤍 Episode OpenCL 132 - Mandatory Elision of Copy/Move Operations, Constrained auto Return Type 🤍 Episode CUDA Tutorial 131 - Create and Consume CUDA DLL, C20 Constrained auto Declarations 🤍
This is to fix the error in Windows 10 when booting up and getting the opencl.dll file is missing or not installed. You may find you have a backup of the file in the Windows 10 driver store. Open Windows\System32 and search for opencl.dll, you could have one in the repository so you can copy and paste it back into the system32 folder. If you don't have it head over to Our Discord 🤍 Discord Link To Download DLL 🤍 amd.com nvidia.com Get to the PC Help and support section and click on the pinned comments. The file will be there for download to your computer then copy and paste it in the Windows\System32 folder. Cheap Windows/Office/Steam/Game keys available from our affiliate link: 🤍 Discount code: MIKESUNBOXING How Do I? Playlist: 🤍 Computers & Gaming Playlist: 🤍 PC How To Playlist: 🤍 Thanks for watching! If you want a mikesunboxing classic t shirt or mikesunboxing dual action stylus pen or need some specific advice or help maybe consider becoming a Patreon supporter here: 🤍patreon.com/mikesunboxing Send donations to paypal.me/mikesunboxing Most of the items we review can be found in Our Amazon influencer Storefront: 🤍 Affiliate links: Ebay UK: 🤍 Ebay US: 🤍 Ebay CA: 🤍 Ebay AUS: 🤍 Get FASTER Internet And £50 off 🤍 Amazon UK: 🤍 Amazon US: 🤍 Amazon CA: 🤍 Amazon DE: 🤍 Amazon FR: 🤍 Amazon ES: 🤍 Amazon IT: 🤍 Amazon AUS: 🤍 Amazon JP: 🤍 Amazon Locally.Link: 🤍 and our affiliate code: Mikesunboxing20 Pay For Items Monthly: 🤍 Q Link: 🤍 🤍 (discount code MIKESUNBOXING) GTRacing Ace Series M1 link EUR: 🤍?aff=74 US: 🤍?aff=915 Discount code: Mikesunboxing Knockies: 🤍 TSDeal: 🤍 Banggood 🤍 Get in touch with us: Email mike🤍mikesunboxing.com YouTube 🤍 Website 🤍 Discord: 🤍 Follow us on: Facebook 🤍
This video about Image processing using an Heterogeneous Parallel Programming with OpenCL and OpenCV
В этом видео уроке я покажу вам, как исправить ошибку Opencl.dll . Библиотека Opencl.dll нужна для взаимодействия центрального и графического процессоров вашего пк. Если Windows показывает вам "Opencl.dll ошибка ", то я вам настоятельно рекомендую обновить драйвера вашего видеоадаптера.
Do you have a graphics card? Well why aren't you using it?! Contrary to what you might think, you can actually use your graphics card (gpu) for other things then just rendering graphics. In today's video, we will be exploring how to use OpenCL to write any program you want for the gpu. This is how you can get the most out of your pc! Do note that this is an 'advanced' tutorial. So I will assume that you know the basics on programming in c. If you are still stuck after watching this video, then please leave your question(s) in the comments or head over to the discord server. We would love to help you out over there! Join the community discord server here: 💬 🤍 Join the Twitch streams here: 🔴 🤍 Check out the OpenCL specification here: 📃 🤍 And check out how to install/include OpenCL here: 📃 🤍 And you can find the github with all the code here: 📃 🤍 If you liked the video, you can support me by: 👉 subscribing 👍 liking 💬 leaving a nice comment (: 00:00 Intro 00:45 What Is OpenCL? 01:45 OpenCL Host Side 09:32 OpenCL Device Side 14:40 Outro #opencl
c: OpenCL/C pow(x,0.5) != sqrt(x) Thanks for taking the time to learn more. In this video I'll go through your question, provide various answers & hopefully this will lead to your solution! Remember to always stay just a little bit crazy like me, and get through to the end resolution. Don't forget at any stage just hit pause on the video if the question & answers are going too fast. Content (except music & images) licensed under CC BY-SA meta.stackexchange.com/help/licensing Just wanted to thank those users featured in this video: Dschoni (🤍 Toby Speight (🤍 Dschoni (🤍 Trademarks are property of their respective owners. Disclaimer: All information is provided "AS IS" without warranty of any kind. You are responsible for your own actions. Please contact me if anything is amiss. I hope you have a wonderful day. Related to: c, opencl, pyopencl
Implementation of Logical Triangulation in C / OpenMP / OpenCL in practice. Description of the principles of the implementation and practical demonstration. Code is on GitHub: 🤍 - Nino Ivanov
Programming an FPGA using C Vs using openCL-C Helpful? Please support me on Patreon: 🤍 With thanks & praise to God, and with thanks to the many people who have made this project possible! | Content (except music & images) licensed under CC BY-SA 🤍 | Music: 🤍 | Images: 🤍 & others | With thanks to user Jan Schiefer (electronics.stackexchange.com/users/32943), user gpuguy (electronics.stackexchange.com/users/10724), user Eric (electronics.stackexchange.com/users/30346), user Adam (electronics.stackexchange.com/users/30547), and the Stack Exchange Network (electronics.stackexchange.com/questions/84733). Trademarks are property of their respective owners. Disclaimer: All information is provided "AS IS" without warranty of any kind. You are responsible for your own actions. Please contact me if anything is amiss at Roel D.OT VandePaar A.T gmail.com
This course will cover the constructs of the OpenCL™ standard. You will learn about the platform, execution, memory, and programming models that define the OpenCL specification. Syntax of the OpenCL language will be discussed, and you will see examples of OpenCL usage. You will learn about the following concepts: NDRange and single work-item kernels (tasks), command queues, contexts, buffers, platforms, and events. You will learn about both the OpenCL host API and kernel C-code. *OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission of Khronos For technical questions, contact the Intel Community: 🤍
Music Lau Tzu Ehru - Doug Maxwell Runnin' Partner - Aaron Lieberman Rub-A-Dub - Matt Harris Picture Оска́р Клод Моне́ «Сорока» , 1868—1869, Музей Орсе, Париж Источник информации 🤍 Исходник в виде текста 🤍
Prerequisite Video: SYCL 108 - (SETUP) Install ComputeCpp SYCL on Windows - Another Beast in the Heterogeneous Compute! 🤍 SYCL 117 - Codeplay ComputeCpp SYCL - How to Create Visual Studio Project Template 🤍 SYCL 118 - How to Type Cast One-Dimensional Array to Multi-Dimensional Array and Vice Versa 🤍 SYCL 119 - How to Cast std::array to C-style Conventional array - reinterpret_cast 🤍 Download Source Code: Episode SYCL 120 - Interoperability with OpenCL and SYCL (OpenCL C Source Code) 🤍 Episode SYCL 119 - How to Cast std::array to C-style Conventional array - reinterpret_cast 🤍 Episode SYCL 118 - How to Type Cast One-Dimensional Array to Multi-Dimensional Array and Vice Versa 🤍
Presented at: IWOCL / SYCLcon 2022. Additional Information and Slides: 🤍 IWOCL Newsletter Signup to receive regular updates on IWOCL, OpenCL and SYCL at: 🤍
In this episode we cover some questions that were asked on the forums about double-precision arithmetic, object oriented programming, clarification on global and local work groups and types of scientific calculations that are amenable to GPU computing. In addition, we'll go over in more detail how to query devices for specific information and features and walk through an example of an OpenCL calculation in Xcode.
2021 LLVM Developers' Meeting 🤍 — OpenCL support in clang status: OpenCL C 3.0, improvements and future directions - Anton Zabaznov Slides: 🤍 — Recently there was a work regarding support of OpenCL C 3.0 in clang. This talk gives an overview of current status, improvements in OpenCL support and in clang in general and informs about future directions. — Videos Edited by Bash Films: 🤍
Revised Overview of OpenCL 2.1, SPIR-V and direct interaction with working group members: OpenCL homepage: 🤍 OpenCL Press Release: 🤍 OpenCL Registry: 🤍 OpenCL Feedback: 🤍 SPIR-V homepage: 🤍 SPIR-V Registry: 🤍 SPIR-V Feedback: 🤍 Video by GoldStandardGroup.com with post-production by Outofcontrol.ca Updated: March 21st 2015
Optimizes buffer accesses for opencl to make programs faster easily. Main project in github: 🤍 Sub project for it: 🤍 Wiki: 🤍 tutorial and binaries: 🤍 if kernel file is ready, starting opencl is just 2 lines of code. 1 line to compile, 1 line to buffer. The load-balancer in this API is iterative. At each compute method execution, it distributes all workitems between all devices. Those devices can be CPU, GPU(GTX TITAN XP, HD7970) and ACC(FPGA or similar) type. Pipelining option divides all work into smaller parts and run them in a controlled order to overlap reads with computes, computes with writes or reads with writes to hide latencies of these operations. This video is recorded on a C3060 CPU with an Intel-HD-400 integrated GPU. For this particular benchmark, iGPU seems to be 44x as fast as a single core of C3060 in C# environment. To compile project in your computer, you need at least VS2015 community edition and an opencl supporting GPU or CPU. First, CekirdeklerCPP project in github needs to be compiled for 64-bit CPU and the resulting Kutuphane.dll(C) must be put near Cekirdekler.dll(64-bit) which is generated by main project. Project also uses System.Threading.dll from Microsoft which makes project somewhat .Net 2.0 compatible and without it, just altering a few "using"s makes it .Net 3.5+ compatible instantly without needing of System.Threading.dll file.
In this episode, we'll go over the fundamentals of OpenCL. Discussing concepts that once understood, will make implementing and using OpenCL much easier. This episode covers, OpenCL devices, objects and memory spaces. Several code examples are presented and we'll walk through the steps needed to run an OpenCL calculation.
This video contains the fourth lesson in step by step opencl tutorial, which covers the basics of writing kernel code.
In this video I'm gonna show you how to fix opencl.dll Missing in windows. OpenCL.dll Mostly This File Is Required To Run Software Application Which Relate To Video Graphic Therefore It Could Be A Gaming Software Or Software Application Can Editing, Converting Or Even Playing Video Files. Most opencl.dll errors are related to missing or corrupt opencl.dll files. Track: Unknown Brain - Say Goodbye (ft. Marvin Divine) [NCS Release] Music provided by NoCopyrightSounds. Watch: 🤍
⚡ 🤍 — новости и поддержка в Телеграм ✅ Как исправить ошибки при запуске программ или Windows 10, 8.1 и Windows 7: Не удается продолжить выполнение кода, поскольку система не обнаружила opencl.dll, Запуск программы не возможен, так как на компьютере отсутствует opencl.dll, amdrsserv.exe системная ошибка и другие. 🤍 — пошаговая текстовая инструкция по исправлению ошибок opencl.dll Драйверы NVIDIA GeForce — 🤍 Драйверы AMD Radeon — 🤍 Драйверы Intel HD Graphics — 🤍 sfc /scannow — команда для проверки целостности системных файлов, запускается в командной строке от имени администратора.
Presented at: IWOCL / SYCLcon 2022. Additional Information and Slides: 🤍 IWOCL Newsletter Signup to receive regular updates on IWOCL, OpenCL and SYCL at: 🤍
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![ATI Stream OpenCL™ Technical Overview [Part 5b] - Programming with OpenCL™ C](https://i.ytimg.com/vi/Jt4iTDvGdNE/mqdefault.jpg "ATI Stream OpenCL™ Technical Overview [Part 5b] - Programming with OpenCL™ C")
![ATI Stream OpenCL™ Technical Overview [Part 5a] - Programming with OpenCL™ C](https://i.ytimg.com/vi/KFAkUsn4YPg/mqdefault.jpg "ATI Stream OpenCL™ Technical Overview [Part 5a] - Programming with OpenCL™ C")
