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Extensive evaluation using hybrid MPI-OpenMP applications from the ASC Sequoia Benchmark Codes and NERSC-8/Trinity benchmarks is presented, showing the effectiveness and efficiency of the approach.
The accuracy obtained by means of a gradient-descent optimization [6] under different SQNR constraints 80 in total, from 40 dB to 120 dB for the different benchmarks is presented in Table 3.
The RD performance for the proposed DVC-BPSI solution and the adopted benchmarks is presented in Figure 15, for the eight defined RD points according to the adopted test conditions.
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In addition, code verification studies and benchmarks are presented.
Both isotropic and orthotropic two-dimensional benchmarks are presented and analyzed.
A series of numerical benchmarks are presented to validate the implementation of the functions (displacements and tractions).
Two representative MST model reduction benchmarks are presented in order to facilitate further development in this area.
The DSE results for many benchmarks are presented along with a comparison with an existing DSE approach that uses the hierarchal structure method for architecture evaluation.
Several test examples of the software running and reproducing physical experiments, as well as performance benchmarks, are presented and future directions are discussed.
Numerical benchmarks are presented, demonstrating that the proposed approach enhances the computational efficiency of mesh deformation algorithms based on radial basis function interpolation significantly, without jeopardizing their robustness and quality.
During the workshops, the good practice, the evidence on the extent of implementation and the benchmarks were presented separately for each domain and good practice indicator.
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