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This paper considers "Streaming" applications that are implemented on multicore systems. The paper explores the use of the simulation component (X-Sim) of the Auto-Pipe development system. Under Auto-Pipe, users consider streaming application development in terms of sets of tasks that can be viewed as nodes in an acyclic graph. These nodes can be mapped to computational resources (e.g., General Purpose Processors (GPPs), Field Programmable Gate Arrays (FPGAs), Digital Signal Processors (DSPs), etc.), and the application can be simulated and subsequently deployed to a real system. In this paper Auto-Pipe is introduced and then applied to a streaming application, VERITAS. Here, gamma ray observation data from an array of telescopes is processed by a multicore system.
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