: 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.

: Rapid analysis means researchers can run more variations of an experiment without waiting days for results.

: Faster processing moves GSEA closer to being a tool that could eventually assist in clinical diagnostic settings where time-to-result is vital.

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