import util
import os
from IPython.core.display import Markdown
benchmark = 'depletion'
Markdown(open(os.path.join(benchmark, 'README.md'), 'r').read())
The depletion benchmark runs a system of $1000$ cuboctahedra, with depletants at a size ratio $q=0.25$ and a reservoir density of $\phi_{dep}^r=0.80$.
Under these conditions, the cuboctahedra forms a dense sheared BCC crystal. The depletion method was described in: Glaser, J et al. A parallel algorithm for implicit depletant simulations. Journal of Chemical Physics, 2015. The cuboctahedra with depletion system was studied in the research article: Karas AS et al. Using depletion to control colloidal crystal assemblies of hard cuboctahedra. Soft Matter, 2015
Parameters:
Performance results are reported in hours to complete ten million Monte Carlo sweeps, where one sweep is N trial moves.
rows = util.read_rows(benchmark)
table = util.make_table(rows)
Markdown(table)
Date | System | Compiler | CUDA | HOOMD | Precision | N | CPU | GPU | Ranks | Time for 10e6 steps (hours) |
---|---|---|---|---|---|---|---|---|---|---|
2018/01/15 | comet | gcc 4.9.2 | 8.0 | 2.2.2 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz | Tesla P100-PCIE-16GB | 1 | 19.92 |
2016/10/23 | psg | gcc 4.8.5 | 8.0 | 2.1.1 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | Tesla P100-PCIE-16GB | 1 | 13.44 |
2016/10/23 | psg | gcc 4.8.5 | 8.0 | 2.1.1 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | Tesla K80 | 1 | 27.39 |
2016/10/23 | psg | gcc 4.8.5 | 8.0 | 2.1.1 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | Tesla M40 24GB | 1 | 28.61 |
2016/10/23 | psg | gcc 4.8.5 | 8.0 | 2.1.1 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | Tesla K40m | 1 | 39.16 |
2016/10/12 | psg | gcc 4.8.5 | 8.0 | 2.1.0 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | Tesla P100-PCIE-16GB | 1 | 13.77 |
2016/10/13 | psg | gcc 4.8.5 | 7.5 | 2.1.0 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | Tesla M40 24GB | 1 | 27.69 |
2016/10/12 | psg | gcc 4.8.5 | 8.0 | 2.1.0 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | Tesla K80 | 1 | 29.23 |
2016/10/13 | psg | gcc 4.8.5 | 7.5 | 2.1.0 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | Tesla K40m | 1 | 39.32 |
2016/09/13 | collins | gcc 4.8.5 | 7.5 | 2.0.3 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2680 v2 @ 2.80GHz | TITAN X | 1 | 15.95 |
2016/09/13 | collins | gcc 4.8.5 | 7.5 | 2.0.3 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2680 v2 @ 2.80GHz | Quadro M6000 | 1 | 29.01 |
2016/09/13 | collins | gcc 4.8.5 | 7.5 | 2.0.3 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2680 v2 @ 2.80GHz | Tesla K40c | 1 | 33.97 |
2016/09/13 | collins | gcc 4.8.5 | 7.5 | 2.0.3 | double | 1,000 | Intel(R) Xeon(R) CPU E5-2680 v2 @ 2.80GHz | GeForce GTX 680 | 1 | 37.28 |
from IPython.display import HTML
#Hide code blocks
HTML('''<script>
code_show=true;
function code_toggle() {
if (code_show){
$('div.input').hide();
} else {
$('div.input').show();
}
code_show = !code_show
}
$( document ).ready(code_toggle);
</script>
The raw code for this IPython notebook is by default hidden for easier reading.To toggle on/off the raw code, click <a href="javascript:code_toggle()">here</a>.''')