Hello,

I am trying to compile the following code with nvc++ on Ubuntu 18.04.6 LTS with a Tesla T4:

```
#include <algorithm>
#include <execution>
#include <numeric>
#include <random>
#include <vector>
int main() {
std::vector<int> indexes(1000);
std::transform_reduce(std::execution::par, indexes.begin(), indexes.end(), float(), std::plus<float>(), [](const auto i) {
std::random_device random_device;
std::mt19937 generator(random_device());
std::normal_distribution<float> gaussian(0, 1);
return gaussian(generator);
});
}
```

However it is failing with `signal 11`

like so:

```
$ export CUDA_HOME=/opt/nvidia/hpc_sdk/Linux_x86_64/21.9/cuda/11.4
$ nvc++ --version
nvc++ 21.9-0 64-bit target on x86-64 Linux -tp skylake
NVIDIA Compilers and Tools
Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
$ nvc++ -stdpar=gpu -fast -O3 -DNDEBUG --c++17 main.cppnvc++-Fatal-/opt/nvidia/hpc_sdk/Linux_x86_64/21.9/compilers/bin/tools/cpp2 TERMINATED by signal 11
Arguments to /opt/nvidia/hpc_sdk/Linux_x86_64/21.9/compilers/bin/tools/cpp2
/opt/nvidia/hpc_sdk/Linux_x86_64/21.9/compilers/bin/tools/cpp2 main.cpp -opt 3 -terse 1 -inform warn -x 119 0xa10000 -x 122 0x40 -x 123 0x1000 -x 127 4 -x 127 17 -x 19 0x400000 -x 28 0x40000 -x 120 0x10000000 -x 70 0x8000 -x 122 1 -x 125 0x20000 -quad -vect 56 -y 34 16 -x 34 0x8 -x 32 25952256 -y 19 8 -y 35 0 -x 42 0x30 -x 39 0x40 -x 199 10 -x 39 0x80 -x 59 4 -tp skylake -x 120 0x1000 -astype 0 -x 121 1 -fn main.cpp -il /tmp/nvc++QdCd_K5nT2O6.il -x 117 0x200 -x 123 0x80000000 -x 123 4 -x 119 0x20 -def __pgnu_vsn=70500 -x 70 0x40000000 -x 183 4 -x 121 0x800 -x 6 0x20000 -autoinl 10 -x 168 400 -x 174 128000 -x 14 0x200000 -x 14 0x400000 -autoinl 10 -x 168 400 -x 174 128000 -x 14 0x200000 -x 14 0x400000 -autoinl 10 -x 168 400 -x 174 128000 -x 14 0x200000 -x 14 0x400000 -autoinl 10 -x 168 400 -x 174 128000 -x 14 0x200000 -x 14 0x400000 -x 249 110 -x 120 0x200000 -x 70 0x40000000 -x 8 0x40000000 -x 164 0x800000 -x 85 0x2000 -x 85 0x4000 -x 34 0x40000000 -x 53 0x800000 -x 15 0x4 -x 206 0x02 -x 68 0x1 -x 39 4 -x 56 0x10 -x 26 0x10 -x 26 1 -x 56 0x4000 -accel tesla -x 180 0x4000400 -x 121 0xc00 -x 186 0x80 -x 176 0x100 -cudacap 75 -x 163 0x1 -x 186 0x80000 -cudaver 11040 -x 194 0x40000 -cudaroot /opt/nvidia/hpc_sdk/Linux_x86_64/21.9/cuda/11.4 -x 180 0x4000400 -x 121 0xc00 -y 210 8 -x 189 0x8000 -y 163 0xc0000000 -x 201 0xf0000000 -x 189 0x10 -y 189 0x4000000 -cudaroot /opt/nvidia/hpc_sdk/Linux_x86_64/21.9/cuda/11.4 -x 187 0x40000 -x 187 0x8000000 -x 9 1 -x 42 0x14200000 -x 72 0x1 -x 136 0x11 -x 37 0x480000 -x 9 1 -x 42 0x14200000 -x 72 0x1 -x 136 0x11 -x 37 0x480000 -x 194 0x20000000 -x 198 0x100 -x 9 1 -x 42 0x14200000 -x 72 0x1 -x 136 0x11 -x 37 0x480000 -x 129 2 -quad -x 119 0x10000000 -x 129 0x40000000 -x 129 2 -quad -x 119 0x10000000 -x 129 0x40000000 -x 56 0x2 -x 9 1 -x 42 0x14200000 -x 72 0x1 -x 136 0x11 -x 37 0x480000 -gnuvsn 70500 -x 69 0x200 -x 123 0x400 -x 137 1 -cmdline '+nvc++ /tmp/nvc++QdCd_K5nT2O6.il -stdpar=gpu -fast -Mvect=simd -Mflushz -Mcache_align -O3 -Mvect=simd -Mflushz -Mcache_align -Mrecip-div -Mfactorize -DNDEBUG --c++17' -asm /tmp/nvc++kdCdEY3VB1J0.ll
```

I saw another topic that suggested that the library is not fully supported with nvc++ yet - is that the reason for this segfault?

If so, is there another way that I can use the library with nvc++? I’d rather stick with standard C++ for my current use case and not use CUDA if possible.