Temporal partitioning of data flow graph for dynamically reconfigurable architecture

In this paper, we present a novel temporal partitioning algorithm that temporally partitions a data flow graph on reconfigurable system. Our algorithm can be used to resolve the temporal partitioning problem at the behaviour level. Our algorithm optimizes the whole latency of the design; this aim can be reached by minimizing the latency of the graph and the number of partitions at the same time. Consequently, our algorithm starts by the lowest possible number of partitions; and next it uses the eigenvectors of the graph to find the best schedule of nodes that minimizes the latency of the graph. The proposed methodology was tested on several examples on reconfigurable architecture based on Xilinx Vertex-II XC2V1000 FPGA device. The results show significant reduction in the design latency compared to famous related algorithms used in this field.