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: It leverages multi-core CPUs and many-core GPUs to perform thousands of permutations simultaneously.

GSEA is a critical tool for researchers trying to understand which biological pathways (like cell growth or immune response) are active in a disease. However, to ensure the results are statistically valid, the software must perform thousands of "permutations"—randomly reshuffling data over and over. : It leverages multi-core CPUs and many-core GPUs

: By optimizing memory access and calculation loops, the researchers achieved performance gains that allow complex analyses to finish in minutes rather than hours. : By optimizing memory access and calculation loops,

: Traditional GSEA tools often ran on a single processor core, making the analysis of large datasets (like those from cancer research) take hours or even days. : It leverages multi-core CPUs and many-core GPUs

The algorithm described in the study drastically changes how bioinformaticians handle big data: