nvcc

I am little bit confused about the 'code=sm_X' option within the '-gencode' statement. An example: What does the NVCC compiler option -gencode arch=compute_13,code=sm_13 embed in the library ? Only the machine code (cubin code) for GPUs with CC 1.3, or also the PTX code for GPUs with CC 1.3 ? In the 'Maxwell compatibility guide', it is stated "Only the back-end target versions(s) specified by the 'code=' clause will be retained in the resulting binary". From that, I would infer that the given compiler option only embeds machine code for GPUs with CC 1.3 and no PTX code. This would mean that it

Goal: create a shared library containing my CUDA kernels that has a CUDA-free wrapper/header. create a test executable for the shared library. Problem shared library MYLIB.so seems to compile fine. (no problem). Error in linking: ./libMYLIB.so: undefined reference to __cudaRegisterLinkedBinary_39_tmpxft_000018cf_00000000_6_MYLIB_cpp1_ii_74c599a1 simplified makefile: libMYlib.so : MYLIB.o g++ -shared -Wl,-soname,libMYLIB.so -o libMYLIB.so MYLIB.o -L/the/cuda/lib/dir -lcudart MYLIB.o : MYLIB.cu MYLIB.h nvcc -m64 -arch=sm_20 -dc -Xcompiler '-fPIC' MYLIB.cu -o MYLIB.o -L/the/cuda/lib/dir -lcudart

I need to modify the PTX code and compile it directly. The reason is that I want to have some specific instructions right after each other and it is difficult to write a cuda code that results my target PTX code, So I need to modify ptx code directly. The problem is that I can compile it to (fatbin and cubin) but I dont know how to compile those (.fatbin and .cubin) to "X.o" file. Robert Crovella There may be a way to do this with an orderly sequence of nvcc commands, but I'm not aware of it and haven't discovered it. One possible approach however, albeit messy, is to interrupt and restart the

Alright, I have a really troubling CUDA 5.0 question about how to link things properly. I'd be really grateful for any assistance! Using the separable compilation features of CUDA 5.0, I generated a static library (*.a). This nicely links with other *.cu files when run through nvcc, I have done this many times. I'd now like to take a *.cpp file and link it against the host code in this static library using g++ or whatever, but not nvcc. If I attempt this, I get compiler errors like undefined reference to __cudaRegisterLinkedBinary I'm using both -lcuda and -lcudart and, to my knowledge, have

I am looking for help getting started with a project involving CUDA. My goal is to have a project that I can compile in the native g++ compiler but uses CUDA code. I understand that I have to compile my CUDA code in nvcc compiler, but from my understanding I can somehow compile the CUDA code into a cubin file or a ptx file. Here are my questions: How do I use nvcc to compile into a cubin file or a ptx file? Don't I need a -c or something? Which file type do I want to use? What are the g++ commands to correctly compile and link the project together? Assume the following: I have a file called

I'm trying to build a simple application with CUDA and I've been trying for hours on end and I just can't make it work on windows. nvcc absolutely refuses to compile without Visual Studio's compiler which doesn't support things I need. I tried building using nvcc with clang but It just asks me to use Visual Studio's compiler. I've also tried using clang directly since it now supports CUDA but I receive this error: clang++.exe: error: Unsupported CUDA gpu architecture: compute_52 This makes no sense to me because I have the CUDA toolkit version 7.5 and my graphics card is a GTX 970 (two of them

I'm study cuda 5.5 but i don't have any Nvidia GPU. In old version of nvcc have a flag --multicore to compile cuda code for CPU. In the new version of nvcc, what's is the option?? I'm working on Linux. Robert Crovella CUDA toolkits since at least CUDA 4.0 have not supported an ability to run cuda code without a GPU. If you simply want to compile code, refer to this question . If you want to run CUDA codes compiled with CUDA 5.5, you will need a CUDA capable GPU. If you're willing to use older CUDA toolkits, you could install one of the various emulators, such as this one . Or you could install

I'm running Windows 7 Pro x64 on a Core i5 with a NVIDIA 3100m, which is CUDA compatible. I've tried installing both the 32-bit and 64-bit CUDA toolkits from NVIDIA, unfortunately from with either of them I cannot compile anything; nvcc says "cannot find a supported cl version. Only MSVC 8.0 and MSVC 9.0 are supported". I have the x86 and x86-64 compilers installed via the Windows 7 SDK (compiler version 15.00.30729.01 for both arches). Both compilers are operating correctly; I've built and tested C and C++ code using them. I've tried running nvcc from command shells set up for both 32 bit and

I want to disable a specific compiler warning with nvcc , specifically warning: NULL reference is not allowed The code I am working on uses NULL references are part of SFINAE, so they can't be avoided. An ideal solution would be a #pragma in just the source file where we want to disable the warnings, but a compiler flag would also be fine, if one exists to turn off only the warning in question. user2333829 It is actually possible to disable specific warnings on the device with NVCC. It took me ages to figure out how to do it. You need to use the -Xcudafe flag combined with a token listed on