opencl

I'm wondering if I can use SIMD intrinsics in a GPU code like a CUDA's kernel or openCL one. Is that possible? No, SIMD intrinsics are just tiny wrappers for ASM code. They are CPU specific. More about them here . Generally speking, why whould you do that? CUDA and OpenCL already contain many "functions" which are actually "GPU intrinsics" (all of these, for example, are single-point-math intrinsics for the GPU ) You use the vector data types built into the OpenCL C language. For example float4 or float8. If you run with the Intel or AMD device drivers these should get converted to SSE/AVX

Is it possible to compile .cl file using NVIDIA's nvcc compiler?? I am trying to set up visual studio 2010 to code Opencl under CUDA platform. But when I select CUDA C/C++ Compiler to compile and build .cl file, it gives me errors like nvcc does not exist. What is the issue? You should be able to use nvcc to compile OpenCL codes. Normally, I would suggest using a filename extension of .c for a C-compliant code, and .cpp for a C++ compliant code(*), however nvcc has filename extension override options ( -x ... ) so that we can modify the behavior. Here is a worked example using CUDA 8.0.61,

Hello Everyone.... i am new to opencl and trying to explore more @ it. What is the work of local_work_size in openCL program and how it matters in performance. I am working on some image processing algo and for my openCL kernel i gave as size_t local_item_size = 1; size_t global_item_size = (int) (ceil((float)(D_can_width*D_can_height)/local_item_size))*local_item_size; // Process the entire lists ret = clEnqueueNDRangeKernel(command_queue, kernel, 1, NULL,&global_item_size, &local_item_size, 0, NULL, NULL); and for same kernel when i changed size_t local_item_size = 16; keeping everything