On-Line Placement of Real-Time Tasks on 2D Partially Run-Time Reconfigurable FPGAs

Abstract

Partially Runtime-Reconfigurable (PRTR) FPGAs allow hardware tasks to be placed and removed dynamically at runtime in multi-tasking systems. Such systems need to not only support sharing of the resources in space, but also guarantee timely execution of the tasks. We present a novel online task placement algorithm under real-time constraints. The proposed algorithm uses a new metric to allocate tasks that makes tasks be placed densely, thereby, larger continuous free area remains. Simulation experiments indicate that our approach gives better results and sometimes has lower algorithm complexity than existingtechniques.