Kavli Affiliate: Carlos Bustamante | Summary: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 variability in per-chromosome RAM demands, resulting in poor […]
Continue.. Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows