This paper presents MPIAB, an agent based architecture for parallel processing. The architecture is developed to model the functions of standard MPI using java agents. It remedies...
As the scale of high-performance computing (HPC) continues to grow, failure resilience of parallel applications becomes crucial. In this paper, we present FT-Pro, an adaptive fault...
In this paper, we introduce the Join-Elect-Leave (JEL) model, a simple yet powerful model for tracking the resources participating in an application. This model is based on the co...
Niels Drost, Rob van Nieuwpoort, Jason Maassen, He...
In this paper, we explore a parallelization of BMC based on state space partitioning. The parallelization is accomplished by executing multiple instances of BMC independently from ...
Subramanian K. Iyer, Jawahar Jain, Mukul R. Prasad...
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...