Re: [Algorithms] General purpose task parallel threading approach

[Adrian B. <ad...@gm...>]

It may be that the specific state machine solution is not any faster
because you're operating directly in the restored general stack (e.g.
trade memory for perf).  However, jumping around to lots of different
task stacks seems like it might have a negative effect on cache
behavior.

Do you really think the memory overhead required will scale to the
number of tasks people are talking about using here?

Cheers,
Adrian

On Sun, Apr 12, 2009 at 4:56 PM,  <asy...@gm...> wrote:
> Explicitly coded state machines have less memory overhead indeed. But coding
> them and further supporting them takes a lot of time.
> And what slight efficiency overhead do you mean ?
>
> Alexander
>
> 2009/4/13 Adrian Bentley <ad...@gm...>
>>
>> It sounded like your mechanism has similar downsides as fibers (i.e.
>> much higher memory overhead, slight efficiency overhead) vs.
>> explicitly coded state machines and such.  Unless I'm confused, that
>> would probably be a deal breaker for the majority of our code.
>>
>> Cheers,
>> Adrian
>>
>> On Sat, Apr 11, 2009 at 10:23 AM,  <asy...@gm...> wrote:
>> > But guys, I would really like to have your feedback on asynclib which
>> > I'm
>> > trying to make as generic as I can.
>> >  I need to know what functionality you want which I don't have. Would
>> > you
>> > like to override the scheduling part of the library ? Is there a
>> > functionality which you don't like how it was presented and so on?
>> >
>> > Alexander.
>>
>>
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>
>
> --
> Regards,
> Alexander Karnakov
>
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