forked from modular/mojo
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathnbody.mojo
202 lines (162 loc) · 5.13 KB
/
nbody.mojo
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
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
# ===----------------------------------------------------------------------=== #
# Copyright (c) 2023, Modular Inc. All rights reserved.
#
# Licensed under the Apache License v2.0 with LLVM Exceptions:
# https://llvm.org/LICENSE.txt
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ===----------------------------------------------------------------------=== #
# RUN: %mojo %s
# This sample implements the nbody benchmarking in
# https://benchmarksgame-team.pages.debian.net/benchmarksgame/performance/nbody.html
from math import sqrt
from benchmark import run, keep
from collections import List
from testing import assert_almost_equal
alias PI = 3.141592653589793
alias SOLAR_MASS = 4 * PI * PI
alias DAYS_PER_YEAR = 365.24
@value
struct Planet:
var pos: SIMD[DType.float64, 4]
var velocity: SIMD[DType.float64, 4]
var mass: Float64
fn __init__(
inout self,
pos: SIMD[DType.float64, 4],
velocity: SIMD[DType.float64, 4],
mass: Float64,
):
self.pos = pos
self.velocity = velocity
self.mass = mass
alias Sun = Planet(
0,
0,
SOLAR_MASS,
)
alias Jupiter = Planet(
SIMD[DType.float64, 4](
4.84143144246472090e00,
-1.16032004402742839e00,
-1.03622044471123109e-01,
0,
),
SIMD[DType.float64, 4](
1.66007664274403694e-03 * DAYS_PER_YEAR,
7.69901118419740425e-03 * DAYS_PER_YEAR,
-6.90460016972063023e-05 * DAYS_PER_YEAR,
0,
),
9.54791938424326609e-04 * SOLAR_MASS,
)
alias Saturn = Planet(
SIMD[DType.float64, 4](
8.34336671824457987e00,
4.12479856412430479e00,
-4.03523417114321381e-01,
0,
),
SIMD[DType.float64, 4](
-2.76742510726862411e-03 * DAYS_PER_YEAR,
4.99852801234917238e-03 * DAYS_PER_YEAR,
2.30417297573763929e-05 * DAYS_PER_YEAR,
0,
),
2.85885980666130812e-04 * SOLAR_MASS,
)
alias Uranus = Planet(
SIMD[DType.float64, 4](
1.28943695621391310e01,
-1.51111514016986312e01,
-2.23307578892655734e-01,
0,
),
SIMD[DType.float64, 4](
2.96460137564761618e-03 * DAYS_PER_YEAR,
2.37847173959480950e-03 * DAYS_PER_YEAR,
-2.96589568540237556e-05 * DAYS_PER_YEAR,
0,
),
4.36624404335156298e-05 * SOLAR_MASS,
)
alias Neptune = Planet(
SIMD[DType.float64, 4](
1.53796971148509165e01,
-2.59193146099879641e01,
1.79258772950371181e-01,
0,
),
SIMD[DType.float64, 4](
2.68067772490389322e-03 * DAYS_PER_YEAR,
1.62824170038242295e-03 * DAYS_PER_YEAR,
-9.51592254519715870e-05 * DAYS_PER_YEAR,
0,
),
5.15138902046611451e-05 * SOLAR_MASS,
)
alias INITIAL_SYSTEM = List[Planet](Sun, Jupiter, Saturn, Uranus, Neptune)
@always_inline
fn offset_momentum(inout bodies: List[Planet]):
var p = SIMD[DType.float64, 4]()
for body in bodies:
p += body[].velocity * body[].mass
var body = bodies[0]
body.velocity = -p / SOLAR_MASS
bodies[0] = body
@always_inline
fn advance(inout bodies: List[Planet], dt: Float64):
for i in range(len(INITIAL_SYSTEM)):
for j in range(len(INITIAL_SYSTEM) - i - 1):
var body_i = bodies[i]
var body_j = bodies[j + i + 1]
var diff = body_i.pos - body_j.pos
var diff_sqr = (diff * diff).reduce_add()
var mag = dt / (diff_sqr * sqrt(diff_sqr))
body_i.velocity -= diff * body_j.mass * mag
body_j.velocity += diff * body_i.mass * mag
bodies[i] = body_i
bodies[j + i + 1] = body_j
for body in bodies:
body[].pos += dt * body[].velocity
@always_inline
fn energy(bodies: List[Planet]) -> Float64:
var e: Float64 = 0
for i in range(len(INITIAL_SYSTEM)):
var body_i = bodies[i]
e += (
0.5
* body_i.mass
* ((body_i.velocity * body_i.velocity).reduce_add())
)
for j in range(len(INITIAL_SYSTEM) - i - 1):
var body_j = bodies[j + i + 1]
var diff = body_i.pos - body_j.pos
var distance = sqrt((diff * diff).reduce_add())
e -= (body_i.mass * body_j.mass) / distance
return e
def run_system():
print("Starting nbody...")
var system = INITIAL_SYSTEM
offset_momentum(system)
print("Energy of System:", energy(system))
for i in range(50_000_000):
advance(system, 0.01)
var system_energy = energy(system)
assert_almost_equal(system_energy, -0.1690599)
print("Energy of System:", system_energy)
def benchmark():
fn benchmark_fn():
var system = INITIAL_SYSTEM
offset_momentum(system)
keep(energy(system))
for i in range(50_000_000):
advance(system, 0.01)
keep(energy(system))
run[benchmark_fn](max_runtime_secs=0.5).print()
def main():
run_system()