If you block the main thread at a safe time (e.g. not during GC) then you can probably access heap objects from your other threads without handles as long as you do your own synchronization between the background threads. Not sure how concurrent marking threads from the GC will feel about that though.
On Friday, May 17, 2019 at 5:43:08 PM UTC+2, Ledion Bitincka wrote: > > >You could read from the heap on a concurrent thread but there is no > synchronization when writing to the heap from the main thread > > My current thinking is something like this - ie I'd be blocking in the > main thread until the serialization is done > in main thread: > handles[] = getHandlesToSerialize(); > results[] = [] > threads[] = spawnThreads(N, handles, results); > > join(threads); > > > One problem though is that I can't use the Handles directly in other > threads as they'd require access to the Isolate and thus would require > synchronization to enter/lock the Isolate. So the only option, as you > alluded to, is to copy off-heap then serialize, which I need to test to see > if it would result into any perf benefits due to the high setup cost for > going multi-threaded. Maybe I'll find a way to actually keep pointers to > underlying data rather than actually copy - will report here what I find. > > > > > On Thursday, May 16, 2019 at 6:18:06 AM UTC-7, Peter Marshall wrote: >> >> On Wednesday, May 15, 2019 at 9:09:18 PM UTC+2, Ledion Bitincka wrote: >>> >>> Thanks! >>> >>> > While I understand that this is tempting, please be aware that only >>> one thread may be active in one Isolate at any given time. >>> I was hoping that there could be multiple threads that had "read-only" >>> access to an Isolate's heap - I was looking through how ValueSerializer >>> works >>> and now I understand there's no such thing as "read-only" given the >>> getter/setter functions. However, wondering if this would be possible for >>> simple objects (key/value) and bail for more complex ones. Any other >>> suggestions for how that work can be parallelized, is it even possible? >>> (this is custom serialization, not JSON) >>> >>>> >>>> You could read from the heap on a concurrent thread but there is no >> synchronization when writing to the heap from the main thread, so there's >> no guarantee that what you are reading is not being concurrently written >> e.g. when it is being allocated, when it is modified by user JS code or >> when the GC moves it. >> >> If the serialization work itself was particularly expensive (e.g. the >> format is very complicated or the data requires a lot of processing) then >> you could copy the relevant parts of the heap objects off-heap and then >> serialize from concurrent threads. >> > -- -- v8-users mailing list v8-users@googlegroups.com http://groups.google.com/group/v8-users --- You received this message because you are subscribed to the Google Groups "v8-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to v8-users+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/v8-users/2e9675e8-1f1e-4c8d-9cac-f990342b01ea%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
