SysCellC: a data-flow programming model on multi-GPU

Dominique Houzet (1) , Sylvain Huet (1) , Anis Rahman (1)

1 GIPSA-AGPIG - GIPSA - Architecture, Géométrie, Perception, Images, Gestes

High performance computing with low cost machines becomes a reality with GPU. Unfortunately, high performances are achieved when the programmer exploits the architectural specificities of the GPU processors: he has to focus on inter-GPU communications, task allocations among the GPUs, task scheduling, external memory prefetching, and synchronization. In this paper, we propose and evaluate a compile flow. It automates the transformation of a program expressed with the high level system design language SystemC, to its implementation on a cluster of multi-GPU. SystemC constructs and scheduler are directly mapped to the GPU API, preserving their semantic. Inter-GPU communications are abstracted by means of SystemC channels.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Dominique Houzet, Sylvain Huet, Anis Rahman. SysCellC: a data-flow programming model on multi-GPU. Procedia Computer Science, 2010, 1 (1), pp.1029-1038. ⟨10.1016/j.procs.2010.04.115⟩. ⟨hal-00497792⟩