Name
Title | ||
|---|---|---|
The High Performance Internet Of Things: Using Gvirtus To Share High-End Gpus With Arm Based Cluster Computing Nodes] |
Abstract | ||
|---|---|---|
The availability of computing resources and the need for high quality services are rapidly evolving the vision about the acceleration of knowledge development, improvement and dissemination. The Internet of Things is growing up. The high performance cloud computing is behind the scene powering the next big thing. In this paper, using the GVirtuS, general purpose virtualization service, we demonstrate the feasibility of accelerate inexpensive ARM based computing nodes with high-end GPUs hosted on x86_64 machines. We draw the vision of a possible next generation of low-cost, off the shelf, computing clusters we call Neowulf characterized by high heterogenic parallelism and expected as low electric power demanding and head producing. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-55224-3_69 | PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2013), PT I |
Keywords | Field | DocType |
Hyerarchical parallelism, Hybrid algorithms, Adaptive algorithms, Multidimensional integration | Virtualization,Electric power,Off the shelf,Knowledge development,General purpose,Computer science,Internet of Things,Parallel computing,Computer cluster,Distributed computing,Cloud computing | Conference |
Volume | ISSN | Citations |
8384 | 0302-9743 | 6 |
PageRank | References | Authors |
0.42 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuliano Laccetti | 1 | 124 | 17.54 |
| Raffaele Montella | 2 | 210 | 23.13 |
| Carlo Palmieri | 3 | 13 | 1.00 |
| Valentina Pelliccia | 4 | 24 | 1.43 |