Neneta: Heterogeneous Computing Complex-Valued Neural Network Framework

被引：0
|
作者：
Lekic, Vladimir [1 ]
Babic, Zdenka [1 ]
机构：
[1] Univ Banja Luka, Fac Elect Engn, Banja Luka 78000, Bosnia & Herceg
来源：
2017 40TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO) | 2017年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Due to increased demand for computational efficiency for the training, validation and testing of artificial neural networks, many open source software frameworks have emerged. Almost exclusively GPU programming model of choice in such software frameworks is CUDA. Symptomatic is also lack of the support for complex-valued neural networks. With our research going exactly in that direction, we developed and made publicly available yet another software framework, completely based on C++ and OpenCL standards with which we try to solve problems we identified with already existing solutions.
引用
收藏
页码：192 / 196
页数：5
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