DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-6,Issue-4 ( Apr, 2018 ) | |||||||||
Paper Title |
RNN based Music Generation Algorithm on GPUs VS FPGAs | |||||||||
Author Name |
Vidya Nyayapati, Garvit Joshi, Jasvinder Singh, Aishwarya Karmarkar, Shivani Shrivastava | |||||||||
Affilition |
CDGI, Indore, India Medicaps Institute of Science and Technology Shri Vaishnav Institute of Science and Technology | |||||||||
Pages |
40-43 | |||||||||
Abstract |
The paper aims at analysing the efficiency of RNN based neural net on both the GPUs and the FPGAs. While GPUs are used in deep learning modules on day to day basis but the FPGAs are not used often this filed. This paper describes the process of constructing a deep learning module based on RNN to generate musical symphonies and compares this algorithm on the FPGAs and GPUs to determine the ideal hardware required for max efficiency. | |||||||||
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