Hi Shikhar

Just a tip

Please avoid using *"auto t0 = std::chrono::high_resolution_clock::now();*"
and rather use* gettimeofday* for any kind of benchmarking as if you
measure the performance of these two function you will find out that
high_resolution_clock to be atleast 2-3x slower than gettimeofday.I know
you are taking the difference but it will help if you require some kind of
book-keeping of time events to avoid latency.

Ankit Aggarwal

On Tue, May 16, 2017 at 8:52 PM, Shikhar Bhardwaj <
[email protected]> wrote:

> Hello everyone,
>
> Yannis and I were discussing about the introduction of an ExecutionPolicy 
> policy parameter in algorithms implemented by mlpack to provide parallel 
> overloads of the algorithms as template specializations.
>
> This approach is a bit similar to C++'s planned support for "Extensions of 
> Parallelism" <http://en.cppreference.com/w/cpp/experimental/parallelism>, 
> describing 3 types of execution policies and overloads of various std 
> algorithms with these execution policies.
>
> In addition to describing the type of execution(parallel/sequential etc), 
> this parameter can also be used to describe other characteristics of the 
> execution, the number of threads used during the execution being an example.
>
> A rough demo of how the interface would look from the user's perspective is 
> here. 
> <https://gist.github.com/shikharbhardwaj/ff7e35ae7085881588f3ca254ce887ac>
>
> We wanted to have further discussion about this design. A few existing issues 
> include the current interface, which is quite crude. For example, we need to 
> hardcode the value of the number of threads in the parallel execution policy, 
> instead of taking it directly from somewhere like 
> std::thread::hardware_concurrency.
>
> Would this design be a good one?
>
> Any thoughts?
>
> Thanks
>
> --
> Shikhar Bhardwaj
>
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