On Supporting Efficient Partial Reconfiguration with Just-In-Time Compilation

Abstract

Partial reconfiguration is possible to deliver virtually unlimited hardware resources since it enables dynamic allocation and de-allocation of tasks onto a reconfigurable architecture, while the rest tasks continue to operate. However, in order to benefit from this flexibility, partial reconfiguration has to be appropriately applied. Among others, the placement of partial configuration data is a critical issue since it affects the fragmentation of hardware resources. In this paper we introduce a novel methodology for supporting partial reconfiguration with the usage of a Just-in-Time (JIT) Compilation framework. Experimental results with a number of benchmarks showed that the introduced solution performs application P&R 7.34× faster, as compared to the state-of-the-art tools, while it also leads to significant lower fragmentation of hardware resources.