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The developed processors achieved significant speedups over the software implementation.
We describe and evaluate a new high-performance implementation of the two-stage approach that attains significant speedups over the one-stage approach.
It also has demonstrated significant speedups over SWIPE and BLAST+.
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We managed to achieve a significant speedup over Chibli's work using Phoenix and MAPCG.
The proposed GPU-based GBC program achieves significant speedup over highly optimized CPU program.
The implementations of PFTBD algorithm on both of them achieve significant speedup over the CPU-only implementation.
All of the parallel implementations, particularly the novel hybrid approach, show a significant speedup over the sequential version.
Furthermore, a CPU GPU implementation of the sub-cycling/orbit averaging is presented and is shown to achieve a significant speedup over an equivalent serial code.
The numerical experiments show that the proposed matrix-free GPU instance of FGFEA can achieve significant speedup over classical sparse-matrix CPU implementation using similar iterative solver.
Our new algorithm resolves these problems by thoroughly decomposing the computation process such that width-1 separators can be used, resulting in a significant speedup over FIND for realistic devices — up to twelve-fold in simulation.
The Chebyshev-filtered subspace iteration (CheFSI) method avoids most of the explicit computation of eigenvectors and results in a significant speedup over iterative diagonalization methods for the DFT self-consistent field (SCF) calculations.
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