Why limit yourself to two? Use N routines and have each process every N in the 
list. 

> On Jan 13, 2021, at 7:25 PM, Nikolay Dubina <nikolay.dubina....@gmail.com> 
> wrote:
> 
> 
> Any primitive in `sync` package will do. I would go for two `RWMutex` each 
> for each goroutine, or two unbuffered channels for each gorouitne. However, 
> AFAIK, in Go you can't force start execution of a goroutine. Go will try to 
> wake up any unblocked goroutine as soon as possible though.
>> On Thursday, January 14, 2021 at 8:57:56 AM UTC+8 Peter Wilson wrote:
>> Folks
>> I have code in C which implements a form of discrete event simulator, but 
>> optimised for a clocked system in which most objects accept input on the 
>> positive edge of a simulated clock, do their appropriate internal 
>> computations, and store the result internally. On the negative edge of the 
>> clock, they each take their stored internal state and 'send' it on to the 
>> appropriate destination object
>> 
>> This is modelled using a linked list of objects, each of which has a phase0 
>> and phase1 function, and traversing the list twice per clock, calling the 
>> appropriate function.
>> 
>> It all works fine. On a uniprocessor. If we have one processor object and 
>> one memory object, with the processor implementing a standard instruction 
>> fetch decode implement interpreted loop, and playing with simulated caches, 
>> reading or writing on cache misses, we can get 20-30 MIPS on a Mac Mini. 
>> 
>> So since (much!) more performance is wanted, implementing this for a 
>> multiprocessor seems a good idea. Especially since every computer and its 
>> dog is multicore. Using go rather than C also sounds like a good idea.
>> 
>> So  the sketch of the go implementation is that I would have three threads - 
>> main, t0, and t1. (more for a real system, but two suffices for explanation)
>> - main sets stuff up, and t0 and t1 do the simulation work
>> - main has to initialise, set up any needed synchronization mechanism, and 
>> start t0 and t1
>> - t0 and t1 wait until main says its ok, then both traverse all objects in 
>> the list. t0 runs the function if it's an even numbered object, and t1 if 
>> it's an odd-numbered. No mutation of state by concurrent threads.
>> - main loops, as do t0 and t1; t0 and t1 signal that they've finished; when 
>> they have, main tells them to start the next traversal
>> 
>> So, after a long ramble, given that I am happy to waste CPU time in busy 
>> waits (rather than have the overhead of scheduling blocked goroutines), what 
>> is the recommendation for the signalling mechanism when all is done in go 
>> and everything's a goroutine, not a thread?
>> 
>> My guess is that creating specialist blocking 'barriers' using sync/atomic 
>> (atomic.Operation seems to be around 4nsec on my Mac Mini) is the highest 
>> performance mechanism. There's a dearth of performance information on 
>> channel communication, waitgroup, mutex etc use, but those I have seen seem 
>> to suggest that sending/receiving on a channel might be over the order of 
>> 100nsec; since in C we iterate twice through the list in 30-40nsec, this is 
>> a tad high (yes, fixeable by modeling a bigger system, but)
>> 
>> I know that premature optimisation is a bad thing, but I'd prefer to ask for 
>> advice than try everything..
>> 
>> many thanks for any help
>> 
>> -- P
>> 
>> 
> 
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