Hierarchical Dataflow Model for efficient programming of clustered manycore processors

Julien Hascoet, Karol Desnos, Jean-Francois Nezan, Benoit Dupont de Dinechin
2017 2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP)  
Programming Multiprocessor Systems-on-Chips (MPSoCs) with hundreds of heterogeneous Processing Elements (PEs), complex memory architectures, and Networks-on-Chips (NoCs) remains a challenge for embedded system designers. Dataflow Models of Computation (MoCs) are increasingly used for developing parallel applications as their high-level of abstraction eases the automation of mapping, task scheduling and memory allocation onto MPSoCs. This paper introduces a technique for deploying hierarchical
more » ... taflow graphs efficiently onto MPSoC. The proposed technique exploits different granularity of dataflow parallelism to generate both NoC-based communications and nested OpenMP loops. Deployment of an image processing application on a many-core MPSoC results in speedups of up to 58.7 compared to the sequential execution.
doi:10.1109/asap.2017.7995270 dblp:conf/asap/HascoetDND17 fatcat:zrl6ffctonhrzixhzhh35nbzdy