-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathstruct_sort.rs
151 lines (130 loc) · 3.78 KB
/
struct_sort.rs
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
use block_pseudorand::block_rand;
use criterion::{
black_box, criterion_group, criterion_main, AxisScale, BatchSize, BenchmarkId, Criterion,
PlotConfiguration, Throughput,
};
use rdst::{RadixKey, RadixSort};
use std::cmp::Ordering;
use std::time::Duration;
use voracious_radix_sort::{RadixSort as Vor, Radixable};
#[derive(Debug, Clone, Copy)]
pub struct LargeStruct {
pub sort_key: f32,
pub a: (u32, u32),
pub b: usize,
pub c: usize,
pub d: Option<(u32, u32)>,
}
impl RadixKey for LargeStruct {
const LEVELS: usize = 4;
#[inline]
fn get_level(&self, level: usize) -> u8 {
self.sort_key.get_level(level)
}
}
impl PartialOrd for LargeStruct {
#[inline]
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
self.sort_key.partial_cmp(&other.sort_key)
}
}
impl PartialEq for LargeStruct {
#[inline]
fn eq(&self, other: &Self) -> bool {
self.sort_key == other.sort_key
}
}
impl Radixable<f32> for LargeStruct {
type Key = f32;
#[inline]
fn key(&self) -> Self::Key {
self.sort_key
}
}
fn gen_input_t2d(n: usize) -> Vec<LargeStruct> {
let mut data: Vec<f32> = block_rand((n / 10) * 9);
data.radix_sort_unstable();
let mut data_2: Vec<f32> = block_rand(n / 10);
data.append(&mut data_2);
data.into_iter()
.map(|v| LargeStruct {
sort_key: v,
a: (0, 0),
b: 0,
c: 0,
d: None,
})
.collect()
}
fn gen_input_sorted(n: usize) -> Vec<LargeStruct> {
let mut data: Vec<f32> = block_rand(n);
data.radix_sort_unstable();
data.into_iter()
.map(|v| LargeStruct {
sort_key: v,
a: (0, 0),
b: 0,
c: 0,
d: None,
})
.collect()
}
fn full_sort_struct(c: &mut Criterion) {
let mut input_sets: Vec<(&str, Vec<LargeStruct>)> = vec![
("160k random", gen_input_t2d(160_000)),
("409k random", gen_input_t2d(409_600)),
("160k already sorted", gen_input_sorted(160_000)),
("409k already sorted", gen_input_sorted(409_600)),
];
let tests: Vec<(&str, Box<dyn Fn(Vec<LargeStruct>)>)> = vec![
(
"rdst",
Box::new(|mut input| {
input
.radix_sort_builder()
.with_single_threaded_tuner()
.sort();
black_box(input);
}),
),
(
"voracious",
Box::new(|mut input| {
input.voracious_sort();
black_box(input);
}),
),
(
"sort",
Box::new(|mut input| {
input.sort_unstable_by_key(|v| {
let s = v.sort_key.to_bits();
if s >> 31 == 1 {
!s
} else {
s ^ (1 << 31)
}
});
black_box(input);
}),
),
];
let mut group = c.benchmark_group("struct_sort");
group.sample_size(10);
group.measurement_time(Duration::from_secs(5));
group.warm_up_time(Duration::from_secs(1));
group.plot_config(PlotConfiguration::default().summary_scale(AxisScale::Logarithmic));
for set in input_sets.iter_mut() {
let l = set.1.len();
group.throughput(Throughput::Elements(l as u64));
for t in tests.iter() {
let name = format!("{} {}", set.0, t.0);
group.bench_with_input(BenchmarkId::new(name, l), set, |bench, set| {
bench.iter_batched(|| set.1.clone(), &*t.1, BatchSize::SmallInput);
});
}
}
group.finish();
}
criterion_group!(struct_sort, full_sort_struct,);
criterion_main!(struct_sort);