Cummings, D: Dataflow-Based Rollback Recovery in Distributed

Many computer programs, especially those involving scientific computing, are long running and rely on parallel processing. The long run times, as well as the increased probability of hardware failures as the number of processors increases and semiconductor feature sizes shrink, demand a high level of recoverability from hardware failures. To address this, we describe a novel approach to parallel programming based on the large grain dataflow model of computing. This approach provides a number of fault-tolerance features, including two forms of a ...