It is a sampled measurement over a time period. For a given time period, it reports what percentage of time one or more GPU kernel(s) was active (i.e. running). It doesn’t tell you anything about how many SMs were used, or how “busy” the code was, or what it was doing exactly, or in what … Read more
Wow, lots of dust on this thread. I came up with a macro fix (well, more like workaround…) for this that I thought I would share: // nvcc does not seem to like variadic macros, so we have to define // one for each kernel parameter list: #ifdef __CUDACC__ #define KERNEL_ARGS2(grid, block) <<< grid, block … Read more
Yes, for a GPU implementation of Calc, you should pass the GetInv as a __device__ function pointer. It is possible, here are some worked examples: Ex. 1 Ex. 2 Ex. 3 Most of the above examples demonstrate bringing the device function pointer all the way back to the host code. This may not be necessary … Read more
You can do something like this: __global__ void kernelSample(int *runtime) { // …. clock_t start_time = clock(); //some code here clock_t stop_time = clock(); // …. runtime[tidx] = (int)(stop_time – start_time); } Which gives the number of clock cycles between the two calls. Be a little careful though, the timer will overflow after a couple … Read more
Follow this tutorial Tensorflow GPU I did it and it works perfect. Attention! – install version 9.0! newer version is not supported by Tensorflow-gpu Steps: Uninstall your old tensorflow Install tensorflow-gpu pip install tensorflow-gpu Install Nvidia Graphics Card & Drivers (you probably already have) Download & Install CUDA Download & Install cuDNN Verify by simple … Read more
First of all, I think talonmies when he posted the response to the previous question you mention, was not intending that to be representative of good coding. So figuring out how to extend it to 3D might not be the best use of your time. For example, why do we want to write programs which … Read more
The link in your post is correct, you just need to create the corresponding key with the desired value. You will find the TDR Registry Keys description here. The setting you are looking for is TdrDelay Specifies the number of seconds that the GPU can delay the preempt request from the GPU scheduler. This is … Read more
[Edit OCT 2017 as even this answer gets quite old] Most of these answers are quite old, so I thought I’d give an updated summary of where I think each project is: GPU.Net (TidePowerd) – I tried this 6 months ago or so, and did get it working though it took a little bit of … Read more
The device memory available to your code at runtime is basically calculated as Free memory = total memory – display driver reservations – CUDA driver reservations – CUDA context static allocations (local memory, constant memory, device code) – CUDA context runtime heap (in kernel allocations, recursive call stack, printf buffer, only on Fermi and newer … Read more
For those who are seeking the answer in 2016 (and even 2017) … Disclaimer I’ve failed to emulate GPU after all. It might be possible to use gpuocelot if you satisfy its list of dependencies. I’ve tried to get an emulator for BunsenLabs (Linux 3.16.0-4-686-pae #1 SMP Debian 3.16.7-ckt20-1+deb8u4 (2016-02-29) i686 GNU/Linux). I’ll tell you … Read more