Implementation of random linear network coding using NVIDIA'S CUDA toolkit
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
In this paper we describe an efficient GPU-based implementation of random linear network coding using NVIDIA's CUDA toolkit. The implementation takes advantage of the highly parallel nature of modern GPUs. The paper reports speed ups of 500% for encoding and 90% for decoding in comparison with a standard CPU-based implementation.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | Networks for Grid Applications |
| Redakteure/-innen | Anastasios Doulamis, Joe Mambretti, Ioannis Tomkos, Theodora Varvarigou |
| Seiten | 131-138 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 978-3-642-11733-6 |
| Publikationsstatus | Veröffentlicht - 2010 |
| Peer-Review-Status | Ja |
| Extern publiziert | Ja |
Publikationsreihe
| Reihe | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering |
|---|---|
| Band | 25 LNICST |
| ISSN | 1867-8211 |
Konferenz
| Titel | 3rd International ICST Conference on Networks for Grid Applications, GridNets 2009 |
|---|---|
| Dauer | 8 - 9 September 2009 |
| Stadt | Athens |
| Land | Griechenland |
Externe IDs
| ORCID | /0000-0001-8469-9573/work/162348324 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Cuda, Gpgpu, Parallelization, Random linear network coding