Re: [Caml-list] concurrent gc?

[Malcolm Matalka <mmatalka@gmail.com>]

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Cool, what sort of tricks can you do to reduce the number of blocks?
Den 24 jul 2014 17:36 skrev "Fabrice Le Fessant" <
Fabrice.Le_fessant@inria.fr>:

> Note that the cost of the GC does not automatically depends on the size of
> RAM. In many networking servers, memory is filled with strings, caching
> files on disk or content to be sent on the network. Such cases make OCaml
> GC happy, since it does not have to manipulate many objects, and it won't
> scan strings for pointers within them. There are also other tricks to
> improve the GC behavior: you might want to change the data representation
> to decrease the number of blocks in the heap, I used to do it a lot when
> doing computations on millions of entries that would not otherwise stay in
> memory.
>
> --Fabrice
>
>
> On Thu, Jul 24, 2014 at 8:58 AM, Nicolas Boulay <nicolas@boulay.name>
> wrote:
>
>> What about server that use ~60GB of RAM ? Todays server are sold with 32
>> to 256 GB of RAM and lot of cpu core.
>> Maybe in such extreme cases, offloading the major collection of the GC
>> could reduce latency a lot ?
>>
>>
>> 2014-07-24 2:05 GMT+02:00 John F. Carr <jfc@mit.edu>:
>>
>>
>>> Most programs spend a minority of their time in garbage collection.
>>> Even if the new GC thread did not slow down the main program,
>>> possible speedup would be less than 2x, probably well under 50%.
>>>
>>> For technical reasons, offloading major collections in OCaml is easier
>>> than offloading minor collections, so the potential benefit is less.
>>>
>>>  > extremely clueless question warning, both generally technically but
>>>  > also vis-a-vie ocaml specifically:
>>>  >
>>>  > so even if ocaml can't so easily be made to support multiple threads
>>>  > of ocaml code, could the gc be moved off to another thread? so that it
>>>  > could run on another core. would that be of any benefit?
>>>
>>> --
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>>
>>
>
>
> --
> Fabrice LE FESSANT
> Chercheur en Informatique
> INRIA Paris Rocquencourt -- OCamlPro
> Programming Languages and Distributed Systems
>

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