Francisco M. de la Vega

Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows

Large-scale genomic workflows used in precision medicine can process datasets spanning tens to hundreds of gigabytes per sample, leading to high memory spikes, intensive disk I/O, and task failures due to out-of-memory errors. Simple static resource allocation methods struggle to handle the variabil