International Journal of Computer Theory and Engineering

Abstract

Current parallel platforms are increasingly equipped with additional accelerators leading to hybrid system architectures. Parallel applications for these platforms can be implemented using a task-based programming approach. Such an approach facilitates the exploitation of all available execution units including the processor cores and the accelerators. The execution of a task-based application requires scheduling decisions, which may be provided by a suitable scheduling tool.<br />    This article discusses the extensions of the scheduling toolkit SEParAT to support hybrid cluster architectures. In particular, it first defines the extended programming model for hybrid platforms and the corresponding scheduling problem. The second part of the article describes the integration of this model into SEParAT. A particular focus lies on the extension of SEParAT's input and output interfaces.