Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]


Groups > comp.programming.threads > #4523 > unrolled thread

More about Parallel ForEach nad Parallel For..

Started bySky89 <Sky89@sky68.com>
First post2018-08-03 23:35 -0400
Last post2018-08-03 23:35 -0400
Articles 1 — 1 participant

Back to article view | Back to comp.programming.threads


Contents

  More about Parallel ForEach nad Parallel For.. Sky89 <Sky89@sky68.com> - 2018-08-03 23:35 -0400

#4523 — More about Parallel ForEach nad Parallel For..

FromSky89 <Sky89@sky68.com>
Date2018-08-03 23:35 -0400
SubjectMore about Parallel ForEach nad Parallel For..
Message-ID<pk2orc$m55$2@dont-email.me>
Hello..


More about Parallel ForEach nad Parallel For..

I think i have made a mistake, because i think that this Parallel 
ForEach and Parallel For are like futulities, because they don't bring
"enough" high level abstraction to consider them interesting,
because i think my Threadpool with priorities that scales very
well is capable of easily simulating Parallel ForEach with "priorities" 
and ParallelFor with "priorities" that scale very well, so no need
to implement Parallel ForEach or Parallel For.


Here is my powerful Threadpool with priorities that scales very well,
read about it and download it from here:

https://sites.google.com/site/scalable68/an-efficient-threadpool-engine-with-priorities-that-scales-very-well


It is a very powerful Threadpool, because:

More precision about my efficient Threadpool that scales very well, my 
Threadpool is much more scalable than the one of Microsoft, in the 
workers side i am using scalable counting networks to distribute on the 
many queues or stacks, so it is scalable on the workers side, on the 
consumers side i am also using lock striping to be able to scale very 
well, so it is scalable on those parts, on the other part that is work 
stealing, i am using scalable counting networks, so globally it scales 
very well, and since work stealing is "rare" so i think that my 
efficient Threadpool that scales very well is really powerful, and it is 
much more optimized and the scalable counting networks eliminate false 
sharing, and it works with Windows and Linux.


Thank you,
Amine Moulay Ramdane.

[toc] | [standalone]


Back to top | Article view | comp.programming.threads


csiph-web