We ran the runserosim function 100 times and report the mean run times under various simulation settings (number of individuals and time steps). Both parallelization and pre-computation within runserosim were turned on and 8 cores were specified. Each case study varies in complexity (Table S9). The blue line represents a simple linear regression (run time ~ number of time steps) and the gray shaded region is the 95% confidence interval. Simulation run time scaled linearly with increases in the number of time steps. (TIF)</p
Simulation is a widely adopted method to analyze and predict the performance of large-scale parallel...
<p>(<b>A</b>) Scaling of wall time duration (normalized by the duration on a single CPU core) with t...
Macro-scale simulation has been advanced as one tool for application - architecture co-design to exp...
We ran the runserosim function 100 times and report the mean run times under various simulation sett...
We ran the runserosim function 100 times and report the run times under various simulation settings ...
Top row corresponds to the run-times in seconds of different methods in scenario (S1) and scenario (...
<p>The computation times (unit in second) averaging over scenarios having with the same numbers of c...
Each line shows the ratio of total run times of standard simulations to those of simulations with pe...
Line color represents different diploid population sizes (N). The left figure shows run times for st...
<p>Run time (in seconds, on a single core of an Intel i7 processor) for typical single runs for each...
Fig 4 shows the execution time for computing approximation values and performing simulation runs. α ...
<p>Median runtime of 1000 trials of betasort, as a result of 1000 simulations.</p
<p>For our applications with different numbers # rs of representative sinusoids, the table lists the...
This paper presents an approach to comparing computer run time of building simulation programs. The ...
Fröhlich et al., 2018 model, 200 simulations with 1, 2, 5, 12, 28, 64, 147, 337, 775, 1780, 4088 opt...
Simulation is a widely adopted method to analyze and predict the performance of large-scale parallel...
<p>(<b>A</b>) Scaling of wall time duration (normalized by the duration on a single CPU core) with t...
Macro-scale simulation has been advanced as one tool for application - architecture co-design to exp...
We ran the runserosim function 100 times and report the mean run times under various simulation sett...
We ran the runserosim function 100 times and report the run times under various simulation settings ...
Top row corresponds to the run-times in seconds of different methods in scenario (S1) and scenario (...
<p>The computation times (unit in second) averaging over scenarios having with the same numbers of c...
Each line shows the ratio of total run times of standard simulations to those of simulations with pe...
Line color represents different diploid population sizes (N). The left figure shows run times for st...
<p>Run time (in seconds, on a single core of an Intel i7 processor) for typical single runs for each...
Fig 4 shows the execution time for computing approximation values and performing simulation runs. α ...
<p>Median runtime of 1000 trials of betasort, as a result of 1000 simulations.</p
<p>For our applications with different numbers # rs of representative sinusoids, the table lists the...
This paper presents an approach to comparing computer run time of building simulation programs. The ...
Fröhlich et al., 2018 model, 200 simulations with 1, 2, 5, 12, 28, 64, 147, 337, 775, 1780, 4088 opt...
Simulation is a widely adopted method to analyze and predict the performance of large-scale parallel...
<p>(<b>A</b>) Scaling of wall time duration (normalized by the duration on a single CPU core) with t...
Macro-scale simulation has been advanced as one tool for application - architecture co-design to exp...