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Real-time streaming signal processing systems typically desire high throughput and low latency. Many such systems can be modeled as synchronous data flow graphs. In this paper, we address the problem of multi-objective mapping of SDF graphs onto heterogeneous multi-processor platforms. The primary contributions include (1) an integer linear programming (ILP) model that globally optimizes throughput, latency and cost; (2) a low-complexity two-stage heuristic based on a combination of andoi:10.1109/icassp.2011.5946804 dblp:conf/icassp/LinSGE11 fatcat:ljyszymkurbg7bp3wa34u3lgny