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-theart tools, while it also leads to significant lower fragmentation of hardware resources.
The execution runtime usually is a headache for designers performing application mapping onto reconfigurable architectures. In this article we propose a methodology, as well as the supporting toolset, targeting to provide fast application implementation onto reconfigurable architectures with the usage of a Just-In-Time (JIT) compilation framework. Experimental results prove the efficiency of the introduced framework, as we reduce the execution runtime compared to the state-of-the-art approach on average by 53.5×. Additionally, the derived solutions achieve higher operation frequencies by 1.17×, while they also exhibit significant lower fragmentation ratios of hardware resources.
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