@inproceedings{6ce6780a2ca54db9b3fa3e447c6bef79,
title = "CUDA-accelerated task scheduling in vehicular clouds with opportunistically available V2I",
abstract = "In this paper, we consider the use of CUDA-based Graphics Processing Units (GPUs) as high performance parallel computing for the purpose of accelerating the application task scheduling in Vehicular Cloud Computing (VCC) systems. We leverage the Single Instruction Multiple Data (SIMD) mode in General-Purpose Graphic Processing Units (GPGPUs) to solve the value iteration algorithm of the defined Markov Decision Process (MDP) of task scheduling on real VCC. We consider opportunistically available Vehicle to Infrastructure (V2I) communication in Dedicated Short Range Communication (DSRC) used in Vehicular ad hoc networks (VANETs) for the vehicular clouds.",
keywords = "CUDA, GPUs, MDP, SIMD, V2I, VANETs, VCC",
author = "Yassine Maalej and Ahmed Abderrahim and Mohsen Guizani and Bechir Hamdaoui",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",
year = "2017",
month = jul,
day = "28",
doi = "10.1109/ICC.2017.7997148",
language = "English",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Merouane Debbah and David Gesbert and Abdelhamid Mellouk",
booktitle = "2017 IEEE International Conference on Communications, ICC 2017",
address = "United States",
}