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<base href="https://bugs.llvm.org/">
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<th>Bug ID</th>
<td><a class="bz_bug_link
bz_status_NEW "
title="NEW - CUDA and OpenMP math functions conflicts (using both -xcuda and -fopenmp)"
href="https://bugs.llvm.org/show_bug.cgi?id=45533">45533</a>
</td>
</tr>
<tr>
<th>Summary</th>
<td>CUDA and OpenMP math functions conflicts (using both -xcuda and -fopenmp)
</td>
</tr>
<tr>
<th>Product</th>
<td>clang
</td>
</tr>
<tr>
<th>Version</th>
<td>9.0
</td>
</tr>
<tr>
<th>Hardware</th>
<td>PC
</td>
</tr>
<tr>
<th>OS</th>
<td>Linux
</td>
</tr>
<tr>
<th>Status</th>
<td>NEW
</td>
</tr>
<tr>
<th>Severity</th>
<td>normal
</td>
</tr>
<tr>
<th>Priority</th>
<td>P
</td>
</tr>
<tr>
<th>Component</th>
<td>OpenMP
</td>
</tr>
<tr>
<th>Assignee</th>
<td>unassignedclangbugs@nondot.org
</td>
</tr>
<tr>
<th>Reporter</th>
<td>dontbugme@mailinator.com
</td>
</tr>
<tr>
<th>CC</th>
<td>llvm-bugs@lists.llvm.org
</td>
</tr></table>
<p>
<div>
<pre>Compiling with -xcuda and -fopenmp options yields the following errors:
In file included from <built-in>:1:
In file included from
/usr/lib/clang/9.0.1/include/__clang_cuda_runtime_wrapper.h:36:
In file included from
/usr/bin/../lib64/gcc/x86_64-pc-linux-gnu/9.3.0/../../../../include/c++/9.3.0/cmath:45:
In file included from /usr/include/math.h:290:
/usr/include/bits/mathcalls.h:95:17: error: exception specification in
declaration does not match previous declaration
__MATHCALL_VEC (exp,, (_Mdouble_ __x));
^
/usr/lib/clang/9.0.1/include/__clang_cuda_math_forward_declares.h:84:19: note:
previous declaration is here
__DEVICE__ double exp(double);
... along with other math functions.
Using CUDA 9.2 and Clang 9.0.1.
Test code:
#include <stdio.h>
#define N 1000
__global__ void add(int *a, int *b) {
int i = blockIdx.x;
if (i<N) {
b[i] = 2*a[i];
}
}
int main() {
int ha[N], hb[N];
int *da, *db;
cudaMalloc((void **)&da, N*sizeof(int));
cudaMalloc((void **)&db, N*sizeof(int));
#pragma omp parallel for
for (int i = 0; i<N; ++i) {
ha[i] = i;
}
cudaMemcpy(da, ha, N*sizeof(int), cudaMemcpyHostToDevice);
add<<<N, 1>>>(da, db);
cudaMemcpy(hb, db, N*sizeof(int), cudaMemcpyDeviceToHost);
for (int i = 0; i<N; ++i) {
printf("%d\n", hb[i]);
}
cudaFree(da);
cudaFree(db);
return 0;
}</pre>
</div>
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