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arXiv · 2208.06321

Modeling Task Mapping for Data-intensive Applications in Heterogeneous Systems

Martin Wilhelm·Hanna Geppert·Anna Drewes·Thilo Pionteck
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Abstract

We introduce a new model for the task mapping problem to aid in the systematic design of algorithms for heterogeneous systems including, but not limited to, CPUs, GPUs and FPGAs. A special focus is set on the communication between the devices, its influence on parallel execution, as well as on device-specific differences regarding parallelizability and streamability. We show how this model can be utilized in different system design phases and present two novel mixed-integer linear programs to demonstrate the usage of the model.

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Martin Wilhelm, Hanna Geppert, Anna Drewes, Thilo Pionteck. 2022-08-12. Modeling Task Mapping for Data-intensive Applications in Heterogeneous Systems. https://doi.org/10.1007/978-3-031-31209-0_11

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