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The proliferation of heterogeneous chip multiprocessors in recent years hasreached unprecedented levels. Traditional homogeneous platforms have shownfundamental limitations when it comes to enabling high-performanceyet-ultra-low-power computing, in particular in application domains withreal-time execution deadlines or criticality constraints. By combining theright set of general purpose cores and hardware accelerators together, alongwith proper chip interconnects and memory technology, heterogeneous chipmultiprocessors have become an effective high-performance and low-powercomputing alternative.  One of the challenges of heterogeneous architectures relates to efficientscheduling of application tasks (processes, threads) across the variety ofoptions in the chip. As a result, it is key to provide tools to enableearly-stage prototyping and evaluation of new scheduling policies forheterogeneous platforms. In this paper, we present STOMP (Scheduling TechniquesOptimization in heterogeneous Multi-Processors), a simulator for fastimplementation and evaluation of task scheduling policies inmulti-core/multi-processor systems with a convenient interface for "plugging"in new scheduling policies in a simple manner. Thorough validation of STOMPexhibits small relative errors when compared against closed-formed equivalentmodels during steady-state analysis.

STOMP: A Tool for Evaluation of Scheduling Policies in Heterogeneous Multi-Processors