gpu-programming

It is not a secret that on CUDA 4.x the first call to cudaMalloc can be ridiculously slow (which was reported several times), seemingly a bug in CUDA drivers. Recently, I noticed weird behaviour: the running time of cudaMalloc directly depends on how many 3rd-party CUDA libraries I linked to my program (note that I do NOT use these libraries, just link my program with them) I ran some tests using the following program: int main() { cudaSetDevice(0); unsigned int *ptr = 0; cudaMalloc((void **)&ptr, 2000000 * sizeof(unsigned int)); cudaFree(ptr); return 1; } the results are as follows: Linked

I am using tesla k20 with compute capability 35 on Linux with CUDA 5.With a simple child kernel call it gives a compile error : Unresolved extern function cudaLaunchDevice My command line looks like: nvcc --compile -G -O0 -g -gencode arch=compute_35 , code=sm_35 -x cu -o fill.cu fill.o I see cudadevrt.a in lib64.. Do we need to add it or what coukd be done to resolve it? Without child kernel call everything works fine. You must explicitly compile with relocatable device code enabled and link the device runtime library in order to use dynamic parallelism. So your compilation command must

I have a very simple Toshiba Laptop with i3 processor. Also, I do not have any expensive graphics card. In the display settings, I see Intel(HD) Graphics as display adapter. I am planning to learn some cuda programming. But, I am not sure, if I can do that on my laptop as it does not have any nvidia's cuda enabled GPU. In fact, I doubt, if I even have a GPU o_o So, I would appreciate if someone can tell me if I can do CUDA programming with the current configuration and if possible also let me know what does Intel(HD) Graphics mean? At the present time, Intel graphics chips do not support CUDA.

I know that nvidia-smi -l 1 will give the GPU usage every one second (similarly to the following). However, I would appreciate an explanation on what Volatile GPU-Util really means. Is that the number of used SMs over total SMs, or the occupancy, or something else? +-----------------------------------------------------------------------------+ | NVIDIA-SMI 367.48 Driver Version: 367.48 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M