Difference between revisions of "NAMD Benchmark"
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|colspan=9 style="text-align:center;"| '''CUDA''' | |colspan=9 style="text-align:center;"| '''CUDA''' | ||
|- | |- | ||
| − | |nVidia Tesla K80|| | + | |nVidia Tesla K80||560M||4992||2||9984|| 1.19497||2723.97MB||2.13 |
| + | |- | ||
| + | |nVidia GeForce RTX 2080Ti||1.35G||4352||8||34816||0.499092||4939.81M||2.13 | ||
| + | |- | ||
| + | |nVidia GeForce GTX 1080Ti||1.48G||3584||8||28672||0.665727||4513.91M||2.13 | ||
Latest revision as of 14:45, 8 August 2019
NAMD Benchmarks
Another aspect of benchmarking is to utilize actual scientific software. In this case I am using NAMD, a molecular dynamics package that can really stress processors.
Benchmark Results
Days/ns: Lower is better
| Processor Type | Freq | Cores | Sockets | Tot Cores | Days/ns | Memory Used | NAMD Version | |
|---|---|---|---|---|---|---|---|---|
| Xeon Phi | ||||||||
| Intel Xeon Phi 7210 | 1.3G | 256 | 1 | 256 | 4.39648 | 17654.7MB | 2.13 | |
| Xeon | ||||||||
| Intel Xeon Gold 6142 | 2.60G | 16 | 2 | 32 | 2.92143 | 4977.29MB | 2.13 | |
| Intel Xeon E5-2698v3 | 2.30G | 16 | 2 | 32 | 3.72519 | 4976.82MB | 2.13 | |
| Opteron | ||||||||
| AMD Opteron 6378 | 2.40G | 16 | 4 | 64 | 4.44643 | 9051.68MB | 2.13 | |
| CUDA | ||||||||
| nVidia Tesla K80 | 560M | 4992 | 2 | 9984 | 1.19497 | 2723.97MB | 2.13 | |
| nVidia GeForce RTX 2080Ti | 1.35G | 4352 | 8 | 34816 | 0.499092 | 4939.81M | 2.13 | |
| nVidia GeForce GTX 1080Ti | 1.48G | 3584 | 8 | 28672 | 0.665727 | 4513.91M | 2.13 | |
