gpgpu

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,

Let me take the hardware with computation ability 1.3 as an example. 30 SMs are available. Then at most 240 blocks are able to be running at the same time(Considering the limit of register and shared memory, the restriction to the number of block may be much lower). Those blocks beyond 240 have to wait for available hardware resources. My question is when those blocks beyond 240 will be assigned to SMs. Once some blocks of the first 240 are completed? Or when all of the first 240 blocks are finished? I wrote such a piece of code. #include<stdio.h> #include<string.h> #include<cuda_runtime.h>

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 have a simple (tested) pycuda app and am trying to profile it. I've tried NVidia's Compute Visual Profiler, which runs the program 11 times, then emits this error: NV_Warning: Ignoring the invalid profiler config option: fb0_subp0_read_sectors Error : Profiler data file '/home/jguy/proj/gpu/tdbp/pyArch/temp_compute_profiler_0_0.csv' does not contain profiler output.This can happen when: a) Profiling is disabled during the entire run of the application. b) The application does not invoke any kernel launches or memory transfers. c) The application does not release resources (contexts, events,

In Wikipedia and other sources' description of OpenGL 4.0 I read about this feature: Drawing of data generated by OpenGL or external APIs such as OpenCL, without CPU intervention. What is this referring to? Edit : Seems like this must be referring to Draw_Indirect which I believe somehow extends the draw phase to include feedback from shader programs or programs from interop (OpenCL/CUDA basically) It looks as if there are a few caveats and tricks to getting the calls to keep staying on the GPU for any extended amount of time past the second run but it should be possible. If anyone can provide