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Yustina S. Suharini

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Open access Sep 2026

Optimizing the Needleman–Wunsch Algorithm Using Dual-GPU Tiling for Enhanced Computational Performance

This study addresses the scalability limitation of the Needleman-Wunsch (NW) algorithm by introducing a dual-GPU computational model that integrates a tiling strategy with semi-parallel kernel scheduling that effectively scales across matrix dimensions from 36 cells to over 400 million cells.

Yustina S. Suharini, W. Kusuma, Sri Nurdiati et al. · 0 citations

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