A. In an imperative programming language, statements are executed in sequence, and each statement may change the program’s state. So analyzing translation units is inherently sequential. An example: Check out how constant propagation might work – a = 5; b = a + 7; c = a + b + 9; You need to go … Read more
If you use OpenCL, you can easily use it both on Windows and Linux because having display drivers is enough to run OpenCL programs and for programming you would simply need to install the SDK. CUDA has more requirements on specific GCC versions etc. But it is not much more difficult to install on Linux … Read more
GPU get their speed for a cost. A single GPU core actually works much slower than a single CPU core. For example, Fermi GTX 580 has a core clock of 772MHz. You wouldn’t want your CPU with such a low core clock nowadays… The GPU however has several cores (up to 16) each operating in … Read more
Although CUDA kernel launches are asynchronous, all GPU-related tasks placed in one stream (which is the default behavior) are executed sequentially. So, for example, kernel1<<<X,Y>>>(…); // kernel start execution, CPU continues to next statement kernel2<<<X,Y>>>(…); // kernel is placed in queue and will start after kernel1 finishes, CPU continues to next statement cudaMemcpy(…); // CPU … Read more
This question is almost impossible to answer because OpenGL by itself is just a front end API, and as long as an implementations adheres to the specification and the outcome conforms to this it can be done any way you like. The question may have been: How does an OpenGL driver work on the lowest … Read more
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
At the present time, Intel graphics chips do not support CUDA. It is possible that, in the nearest future, these chips will support OpenCL (which is a standard that is very similar to CUDA), but this is not guaranteed and their current drivers do not support OpenCL either. (There is an Intel OpenCL SDK available, … Read more
Nope, you can’t use CUDA for that. CUDA is limited to NVIDIA hardware. OpenCL would be the best alternative. Khronos itself has a list of resources. As does the StreamComputing.eu website. For your AMD specific resources, you might want to have a look at AMD’s APP SDK page. Note that at this time there are … 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
So to prevent another dozen of answers suggesting invalid in the context of this thread suggestion to !kill -9 -1, let’s close this thread: The answer is simple: As of this writing Google simply gives only 5% of GPU to some of us, whereas 100% to the others. Period. dec-2019 update: The problem still exists … Read more