I was unable to run Bench.jl (ERROR: varzm! not defined), but, on my
computer just using runtests.jl, a fixed seed, and total time for 100 random
*Initial
elapsed time: 1.641434988 seconds (282491732 bytes allocated, 5.99% gc time)
*Change globals to const
elapsed time: 1.563094028 seconds (261818132 bytes allocated, 6.61% gc time)
* Changing from using a Dict{Int64, *} for the Grid types to just a
Vector{*}, as well as those other globals
elapsed time: 1.373703078 seconds (191864592 bytes allocated, 4.91% gc time)
On Tuesday, July 1, 2014 6:27:15 PM UTC-4, andy hayden wrote:
>
> Bench.jl has a bench_compare method which returns a DataFrame of times (I
> then divide the median of Python vs Julia columns), I'll add this output to
> the Bench script as it's useful to see (would be nice to add more stats, as
> it's just a DataFrame of all the solved puzzles in seconds). By default it
> runs a hundred random sudoku's on Julia, Python, and JuMP (the same on
> each)...
>
> Thanks Steven: Making those const makes a huge difference, Julia wins
> (from 20% slower to 10% faster for me with just that change).
> I will have a play and see how your other suggestions play out.
>
> I was also very impressed with JuMP here... and it may be the latest is
> even faster (I'm using the version from the last release rather than
> master, and it has changed since then).
>
>
> On Tuesday, 1 July 2014 15:11:27 UTC-7, Iain Dunning wrote:
>>
>> I'm working on improving this, but I'm not sure how you are measuring
>> that 20% slower - can you be more specific?
>>
>> On Tuesday, July 1, 2014 1:37:00 PM UTC-4, andy hayden wrote:
>>>
>>> I recently ported Norvig's Solve Every Sudoku Puzzle
>>> <http://norvig.com/sudoku.html> to Julia:
>>> https://github.com/hayd/Sudoku.jl
>>>
>>> Some simple benchmarks suggest my Julia implementation solves around 20%
>>> slower* than the Python version, and 3 times faster than the implementation
>>> on JuMP (vendorized from the latest release), against the random puzzles. I
>>> tried to include the solver from attractivechaos/plb
>>> <https://github.com/attractivechaos/plb/tree/master/sudoku> but
>>> couldn't get it working for comparison...
>>>
>>> I'm new to Julia so would love to hear people's thoughts / any
>>> performance tips!
>>> I've not delved too deeply into the Profile, but @time suggests 10% of
>>> time is GC.
>>>
>>> **I'm sure I've lost some performance in translation which could be
>>> easily sped up...*
>>>
>>> Best,
>>> Andy
>>>
>>
