Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution.


Monte Carlo Simulations of Ionised Nebulae 2.02.73.3

Input: Dust 2D tau100.0

OpenBenchmarking.org metrics for this test profile configuration based on 145 public results since 18 June 2023 with the latest data as of 27 August 2024.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Component
Details
Percentile Rank
# Compatible Public Results
Seconds (Average)
Zen 4 [16 Cores / 32 Threads]
99th
4
64
Zen 4 [128 Cores / 256 Threads]
96th
5
72 +/- 3
Sapphire Rapids [96 Cores / 192 Threads]
85th
4
87 +/- 3
Raptor Lake [24 Cores / 32 Threads]
82nd
3
90
Ice Lake [80 Cores / 160 Threads]
76th
4
94 +/- 1
Zen 4 [192 Cores / 384 Threads]
76th
5
95 +/- 9
Sapphire Rapids [112 Cores / 224 Threads]
76th
5
96 +/- 11
Mid-Tier
75th
> 98
Zen 4 [256 Cores / 512 Threads]
73rd
4
103 +/- 7
Zen 3 [24 Cores / 48 Threads]
69th
4
107 +/- 4
Zen 2 [8 Cores / 16 Threads]
63rd
3
115
Zen 3 [8 Cores / 16 Threads]
61st
4
119 +/- 2
Zen 2 [64 Cores / 128 Threads]
55th
3
138 +/- 3
Sapphire Rapids [32 Cores / 64 Threads]
55th
4
139
Median
50th
145
Sapphire Rapids [64 Cores / 128 Threads]
45th
5
151
Zen 2 [32 Cores / 64 Threads]
41st
4
181
Cascade Lake [18 Cores / 36 Threads]
29th
6
196
Tiger Lake [4 Cores / 8 Threads]
28th
4
199 +/- 5
Low-Tier
25th
> 203
[4 Cores / 8 Threads]
18th
6
216 +/- 8
Zen 4 [128 Cores / 256 Threads]
15th
4
221 +/- 9
Zen 2 [6 Cores / 12 Threads]
8th
6
278
Alder Lake [14 Cores / 20 Threads]
3rd
4
346 +/- 2