[m-dev.] Sorting results

Ralph Becket rbeck at microsoft.com
Thu Feb 8 03:42:55 AEDT 2001
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Here are the results compiled with --high-level-code turned on and
stats gathered using benchmark_det (apparently this is more
accurate than using time__clock when benchmarking).

HEAPSORT

starting sorting benchmark on 1000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 29ms
5 x list__sort/1 on descending sequence: 40ms
5 x list__sort/1 on randomized sequence: 50ms
5 x array__sort/1 on ascending sequence: 20ms
list/array time = 145.00%
5 x array__sort/1 on descending sequence: 20ms
list/array time = 200.00%
5 x array__sort/1 on randomized sequence: 20ms
list/array time = 250.00%

starting sorting benchmark on 10000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 680ms
5 x list__sort/1 on descending sequence: 750ms
5 x list__sort/1 on randomized sequence: 900ms
5 x array__sort/1 on ascending sequence: 410ms
list/array time = 165.85%
5 x array__sort/1 on descending sequence: 280ms
list/array time = 267.86%
5 x array__sort/1 on randomized sequence: 260ms
list/array time = 346.15%

starting sorting benchmark on 100000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 10440ms
5 x list__sort/1 on descending sequence: 10250ms
5 x list__sort/1 on randomized sequence: 14880ms
5 x array__sort/1 on ascending sequence: 4980ms
list/array time = 209.64%
5 x array__sort/1 on descending sequence: 3140ms
list/array time = 326.43%
5 x array__sort/1 on randomized sequence: 3590ms
list/array time = 414.48%

QUICKSORT

starting sorting benchmark on 1000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 19ms
5 x list__sort/1 on descending sequence: 30ms
5 x list__sort/1 on randomized sequence: 40ms
5 x array__sort/1 on ascending sequence: 20ms
list/array time = 95.00%
5 x array__sort/1 on descending sequence: 20ms
list/array time = 150.00%
5 x array__sort/1 on randomized sequence: 10ms
list/array time = 400.00%

starting sorting benchmark on 10000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 640ms
5 x list__sort/1 on descending sequence: 630ms
5 x list__sort/1 on randomized sequence: 970ms
5 x array__sort/1 on ascending sequence: 240ms
list/array time = 266.67%
5 x array__sort/1 on descending sequence: 240ms
list/array time = 262.50%
5 x array__sort/1 on randomized sequence: 230ms
list/array time = 421.74%

starting sorting benchmark on 100000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 10350ms
5 x list__sort/1 on descending sequence: 10050ms
5 x list__sort/1 on randomized sequence: 14950ms
5 x array__sort/1 on ascending sequence: 3750ms
list/array time = 276.00%
5 x array__sort/1 on descending sequence: 2990ms
list/array time = 336.12%
5 x array__sort/1 on randomized sequence: 2930ms
list/array time = 510.24%

MERGESORT

starting sorting benchmark on 1000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 29ms
5 x list__sort/1 on descending sequence: 30ms
5 x list__sort/1 on randomized sequence: 50ms
5 x array__sort/1 on ascending sequence: 0ms
list/array time =   inf%
5 x array__sort/1 on descending sequence: 10ms
list/array time = 300.00%
5 x array__sort/1 on randomized sequence: 10ms
list/array time = 500.00%

starting sorting benchmark on 10000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 650ms
5 x list__sort/1 on descending sequence: 640ms
5 x list__sort/1 on randomized sequence: 960ms
5 x array__sort/1 on ascending sequence: 110ms
list/array time = 590.91%
5 x array__sort/1 on descending sequence: 90ms
list/array time = 711.11%
5 x array__sort/1 on randomized sequence: 180ms
list/array time = 533.33%

starting sorting benchmark on 100000 items over 5 iterations
5 x list__sort/1 on ascending sequence: 10210ms
5 x list__sort/1 on descending sequence: 10090ms
5 x list__sort/1 on randomized sequence: 15050ms
5 x array__sort/1 on ascending sequence: 1600ms
list/array time = 638.12%
5 x array__sort/1 on descending sequence: 1210ms
list/array time = 833.88%
5 x array__sort/1 on randomized sequence: 2160ms
list/array time = 696.76%

hlc really does the trick!  And a clear victory for mergesort
over quicksort, which rather flies in the face of the recieved
wisdom.  The code file is attached if anyone's interested/can
spot any clangers.

--
Ralph Becket      |      MSR Cambridge      |      rbeck at microsoft.com 



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$+2TE"@==
`
end
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