nvcc

While investigating some issues with relocatable device code, I stumbled upon something I don't quite understand. This is a use case for what is pictured on slide 6 . I used an answer of Robert Crovella as a basis for a repro code. The idea is that we have some relocatable device code compiled into a static library (e.g. some math/toolbox library), and we want to use some functions of that precompiled library into another device library of our program: libutil.a ---> libtest.so ---> test_pgm Let's say that this external library contains the following function: __device__ int my_square (int a);

I have two versions of a function in an application, one implemented in CUDA and the other in standard C. They're in separate files, let's say cudafunc.h and func.h (the implementations are in cudafunc.cu and func.c ). I'd like to offer two options when compiling the application. If the person has nvcc installed, it'll compile the cudafunc.h . Otherwise, it'll compile func.h . Is there anyway to check if a machine has nvcc installed in the makefile and thus adjust the compiler accordingly? Thanks a bunch, This should work, included in your Makefile: NVCC_RESULT := $(shell which nvcc 2> NULL)

I would like to declare the alignment for a global device variable in CUDA. Specifically, I have a string declaration, like __device__ char str1 = "some pre-defined string"; In normal gcc, I can request alignment from the compiler as __device__ char str1 __attribute__ ((aligned (4))) = "some pre-defined string"; However, when I tried this on nvcc, the compiler ignores these requests. The reason I would like to do this is to copy these strings onto a buffer in my kernels, and copying words at a time is much faster than copying bytes at a time, though they require that the src string be aligned.

When compiling CUDA programs which use Google Test, nvcc will emit false-positive warnings: function <name> was declared but never referenced An MCVE: // test.cu #include <gtest/gtest.h> namespace { __global__ void a_kernel() { printf("Works"); } TEST(ExampleTest, ExampleTestCase) { a_kernel<<<1, 1>>>(); } } Compiling it gives: $ nvcc test.cu -lgtest -lgtest_main test.cu(9): warning: function "<unnamed>::ExampleTest_ExampleTestCase_Test::ExampleTest_ExampleTestCase_Test()" was declared but never referenced This is confirmed with the master branch of google test and CUDA 9.1 (I believe it

I wrote a simple program in cuda-c and it works on eclipse nsight. This is source code: #include <iostream> #include <stdio.h> __global__ void add( int a,int b, int *c){ *c = a + b; } int main(void){ int c; int *dev_c; cudaMalloc((void**)&dev_c, sizeof(int)); add <<<1,1>>>(2,7,dev_c); cudaMemcpy(&c, dev_c, sizeof(int),cudaMemcpyDeviceToHost); printf("\n2+7= %d\n",c); cudaFree(dev_c); return 0; } Now I'm trying to use this code with Go language with cgo!!! So I wrote this new code: package main //#include "/usr/local/cuda-7.0/include/cuda.h" //#include "/usr/local/cuda-7.0/include/cuda_runtime