Parallel Processing Pipeline for Large-Scale Genomic Data Analysis

Design a distributed computing architecture that can efficiently process petabyte-scale genomic sequencing datasets across heterogeneous compute clusters. The solution must support dynamic workload distribution, handle partial computational failures, and provide real-time progress tracking. Implement fault-tolerance mechanisms that can resume interrupted computational graphs without complete reprocessing, and develop a modular interface that allows seamless integration of different genomic analysis algorithms.