@inproceedings{95890b92f73e44b7ab66ca3e48887422,
title = "FLAC decoding using GPU acceleration",
abstract = "Free Lossless Audio Codec (FLAC) format is a widely used format for audio storage. Using a lower performance single threaded approach, FLAC is easily decoded faster than the rate at which it is played at. However, if you wish to transcode or edit long FLAC audio files then decoding times using single thread CPU approaches becomes significant. The FLAC format contains a sequence of frames, these frames vary in size so start locations are unknown until the previous frame is decoded. This complicates parallelizing decoding. However, frames start with known fixed bit patterns and each frame contains a frame index, it is possible to locate and decode frames in parallel. In this paper, we present an approach that exploits this characteristic enabling all the frames to be decoded in parallel. This approach is implemented and evaluated using an NVIDIA GeForce GTX 1080 graphics card showing a 5 times performance improvements than the widely used official implementation running on an Intel CoreTM i7-6770K CPU.",
keywords = "Audio, CUDA, Codec, Decoder, FLAC, GP104, GPU, Linear-predictive coding, Parallel Processing, Pascal, Signal processing",
author = "Haolei Ye and Eric McCreath",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 ; Conference date: 11-12-2018 Through 13-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/BDCloud.2018.00035",
language = "English",
series = "Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "155--162",
editor = "Jinjun Chen and Yang, \{Laurence T.\}",
booktitle = "Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018",
address = "United States",
}