On Mon, Sep 17, 2012 at 10:49 AM, Jorge <[email protected]> wrote:
> On 17/09/2012, at 06:35, Ben Noordhuis wrote:
>
>> (...)
>> That small gain is offset by the need to serialize access to your data
>> structures - which is often a lot more expensive than the small gain
>> you get by using threads.
>>
>> As for transferring objects, you don't need threads for that, just
>> shared memory.
>
> If the processes are sharing memory, then they *too* "need to serialize 
> access to data structures"...

Yes, but the big difference - and I hate to spell it out because it
should be obvious - is that you only need to synchronize a single
thing instead of every global data structure.

>> We'll probably implement that someday but don't expect too much from
>> it. Shared memory avoids some syscalls but the cost of moving the
>> object from one V8 heap to another remains.
>
> That's the problem for transferable objects: there's no way to grab an object 
> reference from isolate A to use it on isolate B.
>
>> By the way, if you want to hasten that day, post (non-contrived)
>> benchmarks that conclusively show that IPC is a bottleneck. :-)
>
> If the processes can communicate via shared memory -which is always a given 
> for threads- then IPC is fast.
>
> But if they can not then you've got to copy the data and speed becomes a 
> function of ( data.length ) which might be *irremediably* slow.
>
> Big data.length copies also flush other data from the caches, which results 
> in extra slowdowns.
>
> And as the memory bus is a shared resource, under high loads these (many) 
> unnecessary big.data.length copies will (pretty soon) have a global impact on 
> the performance of *all* the rest of system (รก la `cat /dev/zero > /dev/null` 
> memory bus bandwidth exhaustion).

No doubt. Now show me the numbers. :-)

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