Marco Rabozzi

Learn More
—The aim of this paper is to show a novel floorplanner based on Mixed-Integer Linear Programming (MILP), providing a suitable formulation that makes the problem tractable using state-of-the-art solvers. The proposed method takes into account an accurate description of heterogeneous resources and partially reconfigurable constraints of recent FPGAs. A global(More)
Recent developments in Big Data frameworks are moving towards reservation based approaches as a mean to manage the increasingly complex mix of computations, whereas preemption techniques are employed to meet strict jobs deadlines. Within this work we propose and evaluate a new planning algorithm in the context of reservation based scheduling. Our approach(More)
This technical document presents an extended description of the Mixed-Integer Linear Programming (MILP) formulation used for solving the scheduling problem on heterogeneous architectures consisting of software components and recon-figurable logic. The following sections describe the variables, parameters, constraints, objective function and cutting planes(More)
  • 1