International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
May. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 111
Paper Published : 1546
No. of Authors : 4203
  Journal Paper


Paper Title :
RNN based Music Generation Algorithm on GPUs VS FPGAs

Author :Vidya Nyayapati, Garvit Joshi, Jasvinder Singh, Aishwarya Karmarkar, Shivani Shrivastava

Article Citation :Vidya Nyayapati ,Garvit Joshi ,Jasvinder Singh ,Aishwarya Karmarkar ,Shivani Shrivastava , (2018 ) " RNN based Music Generation Algorithm on GPUs VS FPGAs " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 40-43, Volume-6,Issue-4

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.

Type : Research paper

Published : Volume-6,Issue-4


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