1 Heterogeneous computing, GPGPU and OpenCL
OpenCL is currently a common standard for multi-cpu\gpu\ other chip heterogeneous computing (heterogeneous), co-sponsored by many companies and organizations, and it is cross-platform. Designed to take full advantage of the GPU's powerful parallel computing capabilities and work with CPUs to efficiently perform large-scale (especially high-parallelism) computation
Http://www.csdn.net/article/2013-10-29/2817319-the-application-areas-opencl-can-be-used
Abstract:Which type of algorithm is faster when the accelerator and opencl are used? Professor Wu Feng from the Virginia University of Technology and his team gave an example of an algorithm list, sharing 13 typical cases that opencl is often used in the computer field.
Which
OpenCL (full name open Computing Language, open Computing language) is the first open, free standard for the common purpose of heterogeneous systems, and also a unified programming environment, which makes it easy for software developers to provide High-performance computing servers, desktop computing systems, Handheld devices write efficient and lightweight code and are widely used in multiple core processors (CPUs), graphics processors (GPU), cell t
For the arm Mali GPU, currently supports OpenCL1.1, so we can use OpenCL to speed up our calculations.There has been no environment for the Mali GPU to be tested for OPENCL programming. Finally got a Huawei Mate7, but because Huawei did not provide OpenCL driver (in the second half of the year, Huawei will have OpenCL
If you can use opencl, OpenGL, and OMAP for video processing, the computation speed will be greatly improved. This section briefly introduces how opencl and OpenGL work simultaneously.
Both opencl and OpenGL can be used for GPU operations, but the former is mainly used for general computing, while the latter is mainly used for image rendering. In some cases, we
GPU thread and Scheduling
This section describes how workgroups in opencl can be scheduled and executed on hardware devices. At the same time, we will also talk about the workitem in the same workgroup. If the commands they execute occur diverage (that is, the execution commands are inconsistent), the performance will be affected. Learning opencl parallel programming is not only about
Because the image processor (GPU) has a highly parallel infrastructure, it can perform some type of application faster than traditional central processing units (CPUs). The Open Computing Language (OPENCL) is one of the most popular languages to harness the power of the GPU. A typical example is the Adobe Premiere Pro CS6, which accelerates image and video processing by performing OpenCL routines on the use
Original http://www.olcf.ornl.gov/training_articles/opencl-vector-addition/
This article is just a translation of opencl.
The example in the original article cannot be run in my environment, so some changes have been made.
Through this example, we can better understand the opencl programming model.
1. Introduction
This example indicates the addition of
1.OpenCL concept
OpenCL is a framework for writing programs for heterogeneous platforms, which can be composed of cpui, GPU, or other types of processors. OpenCL consists of a language for writing kernels (functions that run on OpenCL devices) (based on C99) and a set of APIs for defining and controlling the platform.
AMD Graphics Ubuntu System OPENCL Environment Setup
1. Install the video driver
1) Download the driver in Http://support.amd.com/zh-cn/download/linux, be sure to note the version
2) Install Fglrx-core_15.302-0ubuntu1_amd64_ub_14.01.deb First, you may encounter a lack of libc6-i385 lib32gcc1 dkms, perform
sudo apt-get autoremove sudo apt-get autoclean
Sudo apt-get-f Update
Sudo apt-get-f Install ibc6-i385 lib32gcc1
Sudo dpkg-i Fglrx-core_15.302-0ubun
Cl_mem Clcreatebuffer (cl_context context, cl_mem_flags flags, size_t size, void *host_ptr, cl_int *errcode_ret) This function is used to create The Cache object. Context is the OPENCL context used to create the cached object. Flags is a bit field that indicates how and how the allocated cache objects are used. If the value of flags is zero, the default value of Cl_mem_read_write is used.
Cl_mem_flags
Cl_mem_read_write
Xilinx, Inc. (NASDAQ:XLNX), the world leader in Programmable technology and devices, announced today the launch of OpenCL, C and c+ at the 2014 International Super Computing 2014 + SDACCELTM development environment, increase unit power performance by up to 25 times times, thereby using FPGA to achieve Data Center application acceleration. SDAccel is the newest member of the Xilinx SDX series, combining the industry's first architecture-optimized compi
I have read opencl for nearly 10 days recently.
Not to mention the English opencl document, it seems confusing. It is enough to train people only in English. After reading the first few documents meticulously, I can't help it. Let's talk about the opencl document experience.
First of all, the document is a document. It is a reference document. If it is used as
respectively. Here, we will introduce
Opencl Built-in functions to replace the code.
Opencl Built-in functions are generally directly supported by the GPU instruction set. Therefore, a call can basically be completed with only one instruction. So we are writing
Opencl Use built-in functions whenever possible. Of course, some built-in mathematical functions sa
The amd opencl university course is a very good entry-level opencl tutorial. by reading the PPT In the tutorial, we can quickly learn about the opencl mechanism and programming methods. : Http://developer.amd.com/zones/OpenCLZone/universities/Pages/default.aspx
The English in the tutorial is very simple. I believe that anyone who learns
Next is Multigpu and Openglinterop, but the two projects skip first. Because I have only one video card in My computer, and then I can't use it with OpenGL.
So the next step is the OpenCL scan project, and at first glance it feels very different from what it was before, and it's hard to look like.
CL File:
Scan codelets////////////////////////////////////////////////////////////////////////////////#if (1)//Naive Inclusive Scan:o (n * log2 (n)) Operat
OpenCL programming can use a struct, just provide the same structure declaration in the kernel function kernel.
If you define a struct in the main function:
1 typedef struct studentnode{
2 int age;
3 float height;
4}student;
The main function defines the data and transmits it to the OpenCL kernel:
Student *stu_input= (student*) malloc (sizeof (Studentnode));
stu_input->age=25;
stu_input->height=1.8
9 OpenCL OptionsThe --enable-opencl opencl option can be used globally when the configuration is turned on at FFmpeg compile time.The following are the supported options:
build_options: Set compilation options to specify the registered core of the compilationRefer to "OpenCL Specification version:1.2 Chapter 5.6.4"
These days in the OpenCL Programming Guide, found a headache problem, programming sometimes with cl_int sometimes with int, and so on, began to understand that int is the grammatical structure of C, Cl_int is the grammatical structure of OpenCL, write the kernel with Cl_int, write C with Int. However, it is found that C sometimes has cl_int, and the kernel is basically int. Chaos, how can this?Difficulties
GPU Architecture
The content includes:
1. Relationship between openclspec and multi-core hardware
Amd gpu Architecture
Nvdia GPU Architecture
Cell broadband Engine
2. Some special topics about opencl
Opencl compilation system
Installable client driver
First of all, we may have doubts: Since opencl is platform-independent, why should we study special har
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