Thanks a lot, Francis!
I've made the changes you suggest - replaced map with mapv and modified 
apply-cmd to take/return a vector instead of a set (it converts to set 
internally).
My understanding is that reducers preserve the order of operation, so it 
should give the correct answer.
Instead, the simple version now takes ~120 s to run, whereas the r/fold 
version fails with a "UnsupportedOperationException: nth not supported on 
this type: Long" somewhere inside reducers/foldvec/fn. Strange.


On Sunday, April 3, 2016 at 2:38:26 AM UTC+5:30, Francis Avila wrote:
>
> Your input collection to r/fold is provided by cmds-from-input which 
> returns a lazy-seq (from map) which is not a parallel-foldable type. You 
> can try mapv instead: vectors are parallel-foldable. (Note only 
> PersistentVector and PersistentHashMap have useful coll-fold 
> implementations: all other objects (including sets) fall back on normal 
> reduction: 
> https://github.com/clojure/clojure/blob/d5708425995e8c83157ad49007ec2f8f43d8eac8/src/clj/clojure/core/reducers.clj#L347-L367
> )
>
> Additionally, I'm not sure how this algorithm could be parallelized 
> because the order in which you apply the toggle operation matters! I 
> suspect if you make the mapv change I suggest you will get different final 
> answers.
>
>
>
>
>
>
> On Saturday, April 2, 2016 at 3:24:47 PM UTC-5, Divyansh Prakash wrote:
>>
>> Hi! 
>> I'm solving the problem described here <http://adventofcode.com/day/6>. 
>> I've got the solution 
>> <https://github.com/divs1210/advent-of-code/blob/master/src/aoc/day6.clj>, 
>> but it takes ~50 s to compute.
>> I tried optimising it by replacing the main reduce operation with r/fold, 
>> but it doesn't seem to have any effect on the performance for whatever n 
>> (batch size) I use.
>> Any suggestions?
>>
>> Note: I'm using a MacBook Pro with 8 cores. JDK 7. Clojure 1.8.
>>
>

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