Yes thanks; I completely forgot about OpenMP.


On 8/19/22 02:04, Björn Andersson wrote:
> Perhaps also look at OpenMP: https://www.openmp.org/specifications/
>
> /Björn
>
>
> Den fre 19 aug. 2022 kl 00:43 skrev Phil Bouchard via Std-Proposals
> <std-proposals_at_[hidden]>:
>
> That's true, sorry for my ignorance. Cuda and OpenCL is also into
> prospect:
>
> https://en.cppreference.com/w/cpp/algorithm/execution_policy_tag
>
>
> On 8/18/22 18:29, Drew Gross wrote:
>> This was standardized in C++17, see the 2nd overload of
>> std::for_each: https://en.cppreference.com/w/cpp/algorithm/for_each
>>
>> On Thu, Aug 18, 2022 at 3:06 PM Phil Bouchard via Std-Proposals
>> <std-proposals_at_[hidden]> wrote:
>>
>> Greetings,
>>
>> I wrote a tool to process ~ 500 galaxy rotation curves for my
>> theory in astrophysics (Finite Theory) in Python and C++:
>>
>> https://github.com/philippeb8/grc/blob/main/src/main.cpp
>>
>> I'm not sure why Python is so popular given it's a trillion
>> times slower than C++.
>>
>> Anyway my point is parallel_for that I'm using is by far very
>> essential to speed up these types of algorithms. I remember
>> back at university we were using a language called Parallaxis
>> for parallel processing. Functions like parallel_for can
>> definitely fill in this gap.
>>
>> So I was just wondering if there are any plans to parallelize
>> C++?
>>
>>
>> Regards,
>>
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