Hari Hara Naveen S

[ninja_compile_logs.txt](https://github.com/STEllAR-GROUP/hpx/files/10610847/ninja_compile_logs.txt) [ninja_compile_success_logs.txt](https://github.com/STEllAR-GROUP/hpx/files/10610848/ninja_compile_success_logs.txt) [ninja_test_compile_logs.txt](https://github.com/STEllAR-GROUP/hpx/files/10610849/ninja_test_compile_logs.txt) [cmake_logs.txt](https://github.com/STEllAR-GROUP/hpx/files/10610886/cmake_logs.txt) There seem to be issues, with simply trying to compile all the tests using the patches meant for module support. HPX compiles with lot of warnings,...

The previous issue was with compiling tests, it was fixed with #include , still facing a few dependency scanning issues. I have sent a [PR](https://github.com/STEllAR-GROUP/hpx/pull/6173) (it doesn't compile as modules...

> The previous issue was with compiling tests, it was fixed with #include , still facing a few dependency scanning issues. I have sent a [PR](https://github.com/STEllAR-GROUP/hpx/pull/6173) (it doesn't compile as...

More comprehensive tests on the way @hkaiser. Will add them soon. Was planning something similar to what we have for [shared_mutex](https://github.com/STEllAR-GROUP/hpx/tree/master/libs/core/synchronization/tests/unit/shared_mutex).

@hkaiser do we have a concurrent hash map like the one by [boost](https://www.boost.org/doc/libs/develop/libs/unordered/doc/html/unordered.html#benchmarks_boostconcurrent_flat_map) or the one by folly?

Hi @biddisco, this is a fun piece of work inspired by the GSoC project you had proposed. I didn't have an use-case in mind, I had tested out it's performance...

@hkaiser can you have a look at the CI? I am not able to view the logs on the jenkins CI. Also is there any reference I could use to...

 Speedups observed for seq vs unseq

> @Johan511 could you please fix the reported clang-format issues as well? There is one loop yet to be vectorized, once that's done vectorization should be enabled for parallel case...

@hkaiser the unseq_first_n function has been changed a bit, the the function now takes iterator as input instead of value, this does not break vectorization.