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The benchmarking performed reveals that the maximum speedup depends on the memory size of the problem as well as multiple hardware factors, like the disposition of CPUs, cache, or memory.
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This Figure shows the results of an Apache benchmark performed on 5 EC2 VMs instantiated at the same time, in the same US East Region.
A first benchmark performed on five devices from different manufacturers has been performed following experimental procedures which enable a relevant comparison of these instruments.
The first benchmark performed on the dataset of dipeptides inhibiting ACE was a 70 30 validation experiment where a random 70% of the data set was used for training and 30% for testing.
In the following we describe several new variants focusing on those which in the benchmarks performed significantly better than the original DR-FFL and TRANSWESD versions (see Results and discussion section).
There have been a multitude of methods proposed see for example the benchmarks performed by Hach et al. (2010)—and the results and optimal choice of method depend strongly on the read length and the maximal edit distance allowed.
Benchmarking: The benchmarking was performed using ROCR package (Sing et al., 2005).
Benchmarking was performed by measuring key phenotypic parameters, expression of podocyte specific proteins and multiparametric responses to stressors that model different aspects of podocyte perturbation.
Benchmarking is performed by comparing this work with analytical solutions available in linear poroelasticity and well-known commercial software in well testing.
Benchmarking was performed on a 3.0 GHz Intel Xeon processor with 32 GB memory.
Benchmarking is performed against the average value of participating institutions in 10 registries (Table 2).
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