Towards an Efficient CPU-GPU Code Hybridization: a Simple Guideline for Code Optimizations on Modern Architecture with OpenACC and CUDA

Ludomir Oteski (1) , Guillaume Colin de Verdiere (2) , Sylvain Contassot-Vivier (3, 4) , Stephane Vialle (5, 6, 7) , Juliette Ryan (1)

1 ONERA - The French Aerospace Lab [Palaiseau]
2 DAM/DIF - DAM Île-de-France
3 UL - Université de Lorraine
4 SIMBIOT - SIMulating and Building IOT
5 Université Paris-Saclay
6 UMI GT CNRS
7 ParSys - LRI - Systèmes parallèles (LRI)

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Ludomir Oteski, Guillaume Colin de Verdiere, Sylvain Contassot-Vivier, Stephane Vialle, Juliette Ryan. Towards an Efficient CPU-GPU Code Hybridization: a Simple Guideline for Code Optimizations on Modern Architecture with OpenACC and CUDA. GPU Technology Conference (GTC), Oct 2017, Munich, Germany. ⟨hal-01651967⟩