Comments (1)
The problem seems to be the use of the non-standard math function erfcinv
, which makes it non-portable.
An alternative is the "polar method" which generates two points at once, and caches the 2nd result to use on the next invocation. We could do this when the compiler is not nvcc
, but it would involve refactoring the code to accomodate the cache.
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Related Issues (20)
- strided sum of a vector HOT 2
- How to initilize thrust device vector from another device vector declared by cuda HOT 5
- `thrust::device_vector` should have an `std::initializer_list` constructor HOT 1
- `thrust::complex` divided by `int` HOT 2
- Mistake
- building thrust with clang cuda fails at target_compile_features HOT 10
- Documentation behind `#if 0` HOT 3
- Godbolt examples in the README fail to compile HOT 1
- [EPIC] Thrust Documentation Improvements HOT 1
- cannot build without thread API HOT 10
- Can thrust support device segmented sort?
- thrust::reduce doesn't work with cuda::proclaim_return_type HOT 1
- Compilation error with iterator_adaptor HOT 2
- Fix failing libcxx tests
- nvcc fatal : Unsupported gpu architecture 'compute_90' for $ cmake --build . -j ${NUM_JOBS} HOT 4
- Make libcu++ compile with gcc-6
- Modify Device Value Error in Official Doc Codes HOT 1
- Shadow warning in execute_with_dependencies
- `sequence` not modifying device array of `cuComplex` HOT 1
- Under what conditions does the reduce function would cause core dump? HOT 1
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from thrust.