Also remember to give the JVM some warm up time, as the JVM depends heavily 
on JIT style optimizations, and measuring performance without it might not 
represent real world behavior,

--
Ashton

On Saturday, January 31, 2015 at 11:39:05 PM UTC-7, Mars0i wrote:
>
> You also might want to use Criterium 
> <https://github.com/hugoduncan/criterium> rather than *time *for accurate 
> benchmarking*.*
>
> On Friday, January 30, 2015 at 6:54:52 AM UTC-6, Maris wrote:
>>
>>
>> yes,  it helped     :-)
>>
>> type hints make non-trivial difference   
>>
>> thank you
>>
>> On Friday, 30 January 2015 12:43:40 UTC, Nicola Mometto wrote:
>>>
>>>
>>> If you set! *warn-on-reflection* to true, you'd see a lot of reflection 
>>> warnings from your code. 
>>>
>>> Type-hinting the code like this: http://sprunge.us/ATiV makes your 
>>> example execute in 120ms on my machine. 
>>>
>>> Maris writes: 
>>>
>>> > I implemented leftist heap (from Purely Functional Data Structures 
>>> book) 
>>> >  in clojure. 
>>> > 
>>> > https://gist.github.com/maruks/135fef92455578b61de2 
>>> > 
>>> > It takes 32 seconds to insert 100000 elements in heap: 
>>> > 
>>> > (time  (peek   (reduce conj (empty-heap)  (range 10000000 20000000 
>>> 100) 
>>> > ))) 
>>> > "Elapsed time: 32649.71438 msecs" 
>>> > 10000000 
>>> > 
>>> > Why is it so much slower than SML NJ?  Something wrong with my code? 
>>> > 
>>> > 
>>> > Here is SML version: 
>>> > https://gist.github.com/maruks/c863eac9cf057a071307 
>>> > 
>>> > And function that inserts 100000 elements in *54* milliseconds ! 
>>> > 
>>> > fun test(n:int) : int  = 
>>> >     let 
>>> > val r = List.tabulate(n, fn x => 10000000 + 100 * x) 
>>> > val h = foldl ( fn (e, h) => IntHeap.insert(e , h) )  IntHeap.empty  r 
>>> >     in 
>>> > IntHeap.findMin(h) 
>>> >     end 
>>>
>>> -- 
>>>
>>

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