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Heterogeneous computing is one of the most important computational solutionsto meet rapidly increasing demands on system performance. It typically allowsthe main flow of applications to be executed on a CPU while the mostcomputationally intensive tasks are assigned to one or more accelerators, suchas GPUs and FPGAs. The refactoring of systems for execution on such platformsis highly desired but also difficult to perform, mainly due the inherentincrease in software complexity. After exploration, we have identified acurrent need for a systematic approach that supports engineers in therefactoring process -- from CPU-centric applications to software that isexecuted on heterogeneous platforms. In this paper, we introduce a decisionframework that assists engineers in the task of refactoring software toincorporate heterogeneous platforms. It covers the software engineeringlifecycle through five steps, consisting of questions to be answered in orderto successfully address aspects that are relevant for the refactoringprocedure. We evaluate the feasibility of the framework in two ways. First, wecapture the practitioner's impressions, concerns and suggestions through aquestionnaire. Then, we conduct a case study showing the step-by-stepapplication of the framework using a computer vision application in theautomotive domain.

HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms