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Subject: Re: [boost] [algorithm] LSD radix sort
From: Jeremy Murphy (jeremy.william.murphy_at_[hidden])
Date: 2014-03-30 09:43:22
On 30 March 2014 23:27, Philippe Vaucher <philippe.vaucher_at_[hidden]> wrote:
>
>
> I think it'd be nice to see the results of these speed tests, compared to
> std::sort etc.
>
> Philippe
>
Good idea. Here are the speed test results from my x86_64 laptop with gcc.
Let me explain them a bit. There are two sets of data based on the
distribution of the random numbers generated. The first is a poisson
distribution, which was really just an easy way to get a small range (max -
min) on the input values. The second is a uniform distribution, which is
also the worst-case scenario.
Then each data distribution is tested four times: unsigned char (h), short
(t), int (j) and long (m).
The first column is the log base 2 of the input size, n. Second column is
time (t) divided by n, so time per element. Third column is something I am
still working on, sorry, just ignore it for now. Fourth and fifth columns
are how many times (x) faster radix sort is compared to std::sort and
std::stable_sort.
So you'll see, LSD radix sort performs pretty well except for on unsigned
long with a large range of values. Oh and the blank rows are because I
haven't got around to measuring n repetitions of a sort, so the blanks are
because one execution of the sort is not measurable. Certainly there are
improvements to be made but this is a crude and effective metric to begin
with. I'm very curious to compare results with different architectures.
Cheers.
Jeremy
Apologies if the formatting is a mess, it *should* look OK in a fixed-width
font.
*** poisson_distribution, mean = std::numeric_limits<T>::max() / 2
=== Test (seed = 1,396,184,394, T = h). ===
log2(n) t/n (ns) c x sort x stable_sort
-------------------------------------------------------------
16
17
18
19
20
21
22 2.38 0.09 15.0 25.0
23 2.38 0.09 15.0 26.0
24 2.38 0.08 15.8 28.5
25 2.98 0.08 12.7 22.1
26 2.83 0.08 13.6 23.9
27 2.76 0.07 14.4 25.3
28 2.76 0.07 14.6 26.3
=== Test (seed = 1,396,184,394, T = t). ===
log2(n) t/n (ns) c x sort x stable_sort
-------------------------------------------------------------
16
17
18
19
20 9.54 0.45 5.0 7.0
21 4.77 0.19 10.0 15.0
22 14.31 0.64 3.2 5.2
23 10.73 0.43 4.3 7.0
24 12.52 0.50 3.9 6.2
25 13.41 0.52 3.6 6.0
26 16.54 0.62 3.0 4.9
27 20.49 0.74 2.5 4.1
28 23.06 0.82 2.2 3.7
=== Test (seed = 1,396,184,394, T = j). ===
log2(n) t/n (ns) c x sort x stable_sort
-------------------------------------------------------------
16
17
18
19 19.07 1.00 4.0 4.0
20 28.61 1.40 2.7 2.7
21 23.84 1.10 3.0 3.2
22 28.61 1.27 2.5 2.9
23 32.19 1.39 2.2 2.7
24 32.19 1.33 2.2 2.7
25 36.66 1.44 1.9 2.5
26 43.36 1.65 1.7 2.1
=== Test (seed = 1,396,184,394, T = m). ===
log2(n) t/n (ns) c x sort x stable_sort
-------------------------------------------------------------
16
17 76.29 4.47 0.0 1.0
18 38.15 2.11 2.0 2.0
19 57.22 3.00 1.0 1.7
20 57.22 2.85 1.3 1.5
21 57.22 2.71 1.4 1.6
22 61.99 2.77 1.3 1.8
23 61.99 2.65 1.4 1.6
24 64.37 2.67 1.4 1.6
25 66.46 2.64 1.4 1.6
26 67.50 2.58 1.4 1.7
*** uniform_int_distribution, min = 0, k = std::numeric_limits<T>::max()
=== Test (seed = 1,396,184,394, T = h). ===
log2(n) t/n (ns) c x sort x stable_sort
-------------------------------------------------------------
16
17
18
19 19.07 1.00 2.0 3.0
20
21 4.77 0.19 9.0 12.0
22 4.77 0.18 8.5 13.5
23 3.58 0.13 11.7 18.0
24 6.56 0.25 6.6 10.0
25 7.75 0.28 5.7 9.0
26 8.05 0.31 5.6 8.9
27 11.77 0.41 3.9 6.2
28 15.87 0.54 3.0 4.7
=== Test (seed = 1,396,184,394, T = t). ===
log2(n) t/n (ns) c x sort x stable_sort
-------------------------------------------------------------
16
17
18
19
20 9.54 0.45 7.0 8.0
21 9.54 0.43 7.0 9.0
22 11.92 0.50 5.6 7.2
23 15.50 0.65 4.2 5.8
24 17.29 0.71 3.9 5.3
25 19.67 0.76 3.4 5.0
26 24.74 0.92 2.7 3.9
27 31.66 1.15 2.2 3.1
28 36.47 1.29 1.9 2.8
=== Test (seed = 1,396,184,394, T = j). ===
log2(n) t/n (ns) c x sort x stable_sort
-------------------------------------------------------------
16
17 76.29 4.47 0.0 1.0
18
19 19.07 1.00 3.0 4.0
20 19.07 0.95 3.5 4.0
21 33.38 1.57 2.3 2.6
22 35.76 1.59 2.2 2.4
23 38.15 1.65 2.2 2.4
24 41.13 1.71 2.1 2.4
25 53.35 2.12 1.7 1.9
26 62.73 2.38 1.5 1.6
=== Test (seed = 1,396,184,394, T = m). ===
log2(n) t/n (ns) c x sort x stable_sort
-------------------------------------------------------------
16
17 76.29 4.47 1.0 0.0
18 38.15 2.11 2.0 2.0
19 76.29 4.00 1.0 1.0
20 57.22 2.85 1.3 1.7
21 71.53 3.38 1.1 1.3
22 81.06 3.68 1.0 1.2
23 85.83 3.70 1.0 1.2
24 103.71 4.29 0.9 1.0
25 122.49 4.88 0.8 0.9
26 131.28 5.04 0.7 0.9
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