Somoclu: An Efficient Parallel Library for Self-Organizing Maps
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Fersiynau electronig
Dogfennau
- 1305.1422v3
Llawysgrif awdur wedi’i dderbyn, 1.44 MB, dogfen-PDF
Trwydded: CC BY Dangos trwydded
- 2017 somoclu an efficient parallel library
Fersiwn derfynol wedi’i chyhoeddi, 1.7 MB, dogfen-PDF
Trwydded: CC BY Dangos trwydded
Dangosydd eitem ddigidol (DOI)
Somoclu is a massively parallel tool for training self-organizing maps on large data sets written in C++. It builds on OpenMP for multicore execution, and on MPI for distributing the workload across the nodes in a cluster. It is also able to boost training by using CUDA if graphics processing units are available. A sparse kernel is included, which is useful for high-dimensional but sparse data, such as the vector spaces common in text mining workflows. Python, R and MATLAB interfaces facilitate interactive use. Apart from fast execution, memory use is highly optimized, enabling training large emergent maps even on a single computer.
| Iaith wreiddiol | Saesneg |
|---|---|
| Tudalennau (o-i) | 1-21 |
| Cyfnodolyn | Journal of Statistical Software |
| Cyfrol | 78 |
| Rhif y cyfnodolyn | 9 |
| Dynodwyr Gwrthrych Digidol (DOIs) | |
| Statws | Cyhoeddwyd - 9 Meh 2017 |
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