Multi-objective distributed run-time resource management for many-cores

Dynamic usage scenarios of many-core systems require sophisticated run-time resource management that can deal with multiple often conflicting application and system objectives. This paper proposes an approach based on nonlinear programming techniques that is able to trade off between objectives while respecting targets regarding their values. We propose a distributed application embedding for dealing with soft system-wide constraints as well as a centralized one for strict constraints. The experiments show that both approaches may significantly outperform related heuristics.