Computer Science · R Programming
In R for parallel computing on multi-core systems during bootstrap resampling of returns, why does parLapply() conceptually outperform lapply()?
- 1It executes sequentially with added logging
- 2It distributes tasks across clusters for faster iteration on large samples✓
- 3It limits to single-threaded environments
- 4It converts lists to vectors automatically
Correct answer
It distributes tasks across clusters for faster iteration on large samples
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