opencl

I read couple of questions on SO for this topic(SIMD Mode), but still slight clarification/confirmation of how things work is required. Why use SIMD if we have GPGPU? SIMD intrinsics - are they usable on gpus? CPU SIMD vs GPU SIMD? Are following points correct,if I compile the code in SIMD-8 mode ? 1) it means 8 instructions of different work items are getting executing in parallel. 2) Does it mean All work items are executing the same instruction only? 3) if each wrok item code contains vload16 load then float16 operations and then vstore16 operations only. SIMD-8 mode will still work. I mean

I am new to OpenCL. I have written a vector addition code in OpenCL with help from Internet. I have included one header file i.e. CL/cl.h using #include . I am using NVIDIA graphic card and the OpenCL implementation is NVIDIA_GPU_Computing_SDK. My OpenCL header files are residing at this path /opt/NVIDIA_GPU_Computing_SDK/OpenCL/common/inc . I can run OpenCL programs through linux terminal by adding this path when compiling my code. But now I want to write CMake file for this code. CMake files are working fine for C programs, but not OpenCL programs because of this Path problem. In terminal, I

Does the OpenCL specification set any maximum limit on the amount of private memory that can be used? If so, how do I get this number? I have a function which gives the correct result when run outside OpenCL, but when converted to a kernel, it spews out garbage. I checked the amount of private memory being used per work item using the CL_KERNEL_PRIVATE_MEM_SIZE flag and it is ~ 4000 bytes. I suspect that I am using too much private memory and this is somehow leading to junk computation. Its different for different archs. For example, a hd7870's private memory per compute-unit is 256kB and if

I'm trying to use OpenCL to draw to a cl_image that I got from a OpenGL texture and then render that texture. The problem is when I run my code on CL_DEVICE_TYPE_CPU it works fine however when I run on CL_DEVICE_TYPE_GPU the texture appears to be some random pixels. I'm new to OpenCL and not sure what's goin on so I'll post code below, also using OpenCL on OSX. Host Code: #import "GLView.h" #import <GLKit/GLKit.h> #import <OpenCL/OpenCL.h> #import "kernel.cl.h" #define WIDTH 500 #define HEIGHT 500 static GLfloat squareVertexData[] = { -0.5f, -0.5f, 0.0f, 0.0f, 0.0f, 0.5f, -0.5f, 0.0f, 1.0f, 0

I am a newbie in OpenCL stuffs. Whats is the best way to compiler an OpenCL project ? Using a supported compiler ( GCC or Clang ): When we use a compiler like gcc or clang , how do we control these options? Are they have to be set inside the source code, or, likewise the normal compilation flow we can pass them on the command line. Looking at the Khornos-Manual-1.2 , there are a few options provided for cl_int clBuildProgram for optimizations. : gcc|clang -O3 -I<INCLUDES> OpenCL_app.c -framework OpenCL OPTION -lm Actually, I Tried this and received an error : gcc: error: unrecognized command

I've built Linux Kernel, with means of the buildroot. I've incorporated opensource amdgpu driver and required firmwares into it. Driver is fine, detecting GPUs, mode setting acts good, adjusting resolution for "small text", and command line shows up after boot. Now I require to run OpenCL program. I manually unpacked files from amdgpu-pro driver(rhel7 variant) and assembled skeleton fs then copied what I thought was required. OpenCL does not recognise any devices and clinfo utility throws cl::error from cl::getPlatformIDs() call. What are exactly files required for OpenCL to fully work on