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We also observe that in weak scaling tests, the ratio in time to solution of MN to PN decreases.
This will improve the time to solution for simulations with more than 104 particles.
So far we considered only the objective to minimize the time to solution.
Experimental results demonstrate that, relative to the serial version, MR-MSPolygraph reduces the time to solution from weeks to hours, for processing tens of thousands of experimental spectra.
These improvements reduce time-to-solution from hours to seconds on real-world datasets.
However, the systems model increased the time-to-solution due to network latency.
In the present analysis we explore its potential to achieve improvements in time-to-solution on modern cache-based architectures.
To accelerate the time-to-solution for steady-state problems, we propose a new semi-implicit time discretization scheme.
To measure time-to-solution, we start by running a complete simulation at a lower resolution.
The method results in an additional 26% decrease in the overall time-to-solution.
In Figure 4, we present the results comparing time-to-solutions across those tools when using m1.large and hi1.4xlarge.
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