Characterization of Speech Recognition Systems on GPU Architectures
This master thesis characterizes the performance and energy bottlenecks of speech recognition systems when running on modern GPU, with the aim of providing useful information for designing future GPU architectures, as well as proposing a GPU configuration more well-suited for speech recognition.
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| Format: | master thesis |
| Publication Date: | 2016 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/89884 |
| Online Access: | https://hdl.handle.net/2117/89884 |
| Access Level: | Open access |
| Keyword: | Automatic speech recognition Reconeixement de veu Viterbi Kaldi GPU GPGPU-Sim. Speech recognition Reconeixement automàtic de la parla Àrees temàtiques de la UPC::Informàtica |
| Summary: | This master thesis characterizes the performance and energy bottlenecks of speech recognition systems when running on modern GPU, with the aim of providing useful information for designing future GPU architectures, as well as proposing a GPU configuration more well-suited for speech recognition. |
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