Paper Info
Title
Enabling Android-Based Devices to High-End GPGPUs.
Abstract
The success of Android is based on its unified Java programming model that allows to write platform-independent programs for a variety of different target platforms. In this paper we describe the first, to the best of our knowledge, offloading platform that enables Android devices with no GPU support to run Nvidia CUDA kernels by migrating their execution on high-end GPGPU servers. The framework is highly modular and exposes a rich Application Programming Interface (API) to the developers, making it highly transparent and hiding the complexity of the network layer. We present the first preliminary results, showing that not only GPGPU offloading is possible but it is also promising in terms of performance.
Year
DOI
Venue
2016
10.1007/978-3-319-49583-5_9
ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2016
Keywords
Field
DocType
Virtualization,GPGPU,CUDA,Cloud,Android,Offloading
Android (operating system),Programming paradigm,CUDA,Computer science,Server,General-purpose computing on graphics processing units,Application programming interface,Java,Operating system,Cloud computing,Distributed computing
Conference
Volume
ISSN
Citations 
10048
0302-9743
4
PageRank 
References 
Authors
0.42
7
5
Name
Order
Citations
PageRank
Raffaele Montella121023.13
Carmine Ferraro2181.00
Sokol Kosta327624.92
Valentina Pelliccia4241.43
Giulio Giunta516213.35