Comments (2)
Pull request #63 merged - this solves issue #17 (1 and 2)
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Closing the issue with OpenACC and OpenMP optimization. A new issue will be created to incorporate the cuda and restructuring for Nsight Compute.
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Related Issues (20)
- Avoid monolithic functions which take tons of parameters in stdpar functions
- Do not pass ranges of items as pointers; use spans, ranges, or const references to vectors instead
- If any of these variables are only used locally within the loop, move their declaration into the loop and place it close to where they are used.
- [HPC][multigpu] bugs
- [HPC-AI][AI for Science] issue with download link
- Singularity build fails - hpc_ai HOT 1
- [HPC][All] profiler link broken in notebooks
- [HPC_AI][AI for Science Climate] Text pre-processing notebook throws pandas error HOT 3
- Feature Request - Extension to OpenACC content
- [General][All] Discussion on giving access to slides/challenge
- [HPC_AI][AI for Science Climate] Improvements
- [HPC_AI][AI for Science Climate]Improvements
- [HPC][Nways] explanation for the user of -DUSE_COUNTING_ITERATOR
- [HPC] [NWays-challenge] CUDA makefile issue HOT 1
- [HPC] [NWays] missing "use nvtx" in CUDA Fortran examples
- [HPC] [NWays-challenge] stdpar implementation issue HOT 2
- Do not do `using namespace std;` in a header or at all
- Do not use manual memory management in stdpar examples
- Do not use `printf` in the stdpar examples, or at least use it consistently
- Use `std::round` instead of defining our own `round` in the stdpar example
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