Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL.


Kripke 1.2.6

OpenBenchmarking.org metrics for this test profile configuration based on 70 public results since 18 June 2023 with the latest data as of 8 October 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
Throughput FoM (Average)
Sapphire Rapids [64 Cores / 128 Threads]
99th
4
627061100 +/- 4548827
Sapphire Rapids [32 Cores / 64 Threads]
93rd
4
504218134 +/- 7510211
Zen 4 [64 Cores / 128 Threads]
86th
3
386853133 +/- 9683254
Zen 4 [32 Cores / 64 Threads]
77th
6
372028200 +/- 3534601
Mid-Tier
75th
< 359309833
Zen 4 [32 Cores / 64 Threads]
67th
4
351260450 +/- 2508328
Zen 4 [64 Cores / 128 Threads]
54th
3
292305522 +/- 9472388
Median
50th
268773267
Zen 4 [16 Cores / 32 Threads]
46th
5
237729240 +/- 1902493
Zen [32 Cores / 64 Threads]
31st
4
185225025 +/- 2694003
Low-Tier
25th
< 148243333
Zen 2 [32 Cores / 64 Threads]
24th
4
147229467 +/- 1170712
Zen 2 [64 Cores / 128 Threads]
20th
3
133378100 +/- 1023426
Zen 4 [16 Cores / 32 Threads]
13th
4
126859083 +/- 150778