Name
Abstract | ||
|---|---|---|
In this paper, we present cuLib, a R package that provides an easy-to-access interface for utilizing the computing power of NVIDIA GPU. The cuLib package aims to make GPU-based parallel programming easier, flexible and high-performance. It allows the use of GPU computing in R without further knowledge because the syntax for definition and manipulation of GPU data is similar to formal R language. cuLib is compatible with device and operation system. The data interface is very flexible, enabling the users manipulate data freely. The cuLib package provides an R wrapper for libraries of NVIDIA's CUDA toolkit and numerous operations. More importantly, it is not only a mathematical tool but also practicable for the algorithm in dealing with data intensive computation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SmartCity.2015.136 | 2015 IEEE INTERNATIONAL CONFERENCE ON SMART CITY/SOCIALCOM/SUSTAINCOM (SMARTCITY) |
Keywords | Field | DocType |
R, GPU, CUDA, mathematical tool, data intensive computing | Central processing unit,Data-intensive computing,CUDA,Computer science,Parallel computing,Computational science,General-purpose computing on graphics processing units,R language,Sparse matrix,R package,Computation | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Huang | 1 | 292 | 20.71 |
| Bojin Zhuang | 2 | 11 | 6.73 |
| Su Fei | 3 | 113 | 34.44 |