Impact of memory approximation on energy efficiency
Depositado neste repositório o arquivo contendo a versão Preprint do artigo publicado pela IEEE
| Principais autores: | Felzmann, Isaías Bittencourt, Fabrício Filho, João, Azevedo, Rodolfo Jardim de, Wanner, Lucas Francisco |
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| Formato: | Trabalho Apresentado em Evento |
| Idioma: | Inglês |
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Campo Mourao
2021
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http://repositorio.utfpr.edu.br/jspui/handle/1/23891 http://dx.doi.org/10.1109/WSCAD.2018.00018 |
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riut-1-238912021-01-19T06:10:28Z Impact of memory approximation on energy efficiency Felzmann, Isaías Bittencourt Fabrício Filho, João Azevedo, Rodolfo Jardim de Wanner, Lucas Francisco Energia - Consumo Computação de alto desempenho Gerenciamento de memória (Computação) Energy consumption High performance computing Memory Management (Computer science) CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO Depositado neste repositório o arquivo contendo a versão Preprint do artigo publicado pela IEEE Approximate memories can lower energy consumption at expense of incurring errors in some of the read/write operations. While these errors may be tolerated in some cases, in general, parts of the application must be re-executed to achieve usable results when a large number of errors occur. Frequent re-executions may, in turn, attenuate or negate energy benefits obtained from using approximate memories. In this work, we show the energy impact of memory approximations in applications considering different quality requirements. Five out of nine selected applications showed a positive energy-quality tradeoff. For these applications, our results show up to 30% energy savings at a 10 -8 error rate, when a 20% degradation in quality is allowed. 2021-01-18T22:58:09Z 5000 2021-01-18T22:58:09Z 2018-10 conferenceObject FELZMANN, Isaías; FABRÍCIO FILHO, João; AZEVEDO, Rodolfo; WANNER, Lucas. Impact of memory approximation on energy efficiency. In: Symposium on High Performance Computing Systems, 19, 2018, São Paulo. Anais eletrônicos [...]. Los Alamitos: IEEE Computer Society, 2018, p. 53-60, DOI: http://dx.doi.org/10.1109/WSCAD.2018.00018. Disponível em: https://www.computer.org/csdl/proceedings-article/wscad/2018/377200a053/1bhIcMgMeyc. Acesso em: 28 dez. 2020. 9781728137728 http://repositorio.utfpr.edu.br/jspui/handle/1/23891 http://dx.doi.org/10.1109/WSCAD.2018.00018 eng Symposium on High Performance Computing Systems https://ieeexplore.ieee.org/document/8748895 embargoedAccess application/pdf Campo Mourao Brasil |
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Universidade Tecnológica Federal do Paraná |
| collection |
RIUT |
| language |
Inglês |
| topic |
Energia - Consumo Computação de alto desempenho Gerenciamento de memória (Computação) Energy consumption High performance computing Memory Management (Computer science) CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
| spellingShingle |
Energia - Consumo Computação de alto desempenho Gerenciamento de memória (Computação) Energy consumption High performance computing Memory Management (Computer science) CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO Felzmann, Isaías Bittencourt Fabrício Filho, João Azevedo, Rodolfo Jardim de Wanner, Lucas Francisco Impact of memory approximation on energy efficiency |
| description |
Depositado neste repositório o arquivo contendo a versão Preprint do artigo publicado pela IEEE |
| format |
Trabalho Apresentado em Evento |
| author |
Felzmann, Isaías Bittencourt Fabrício Filho, João Azevedo, Rodolfo Jardim de Wanner, Lucas Francisco |
| author_sort |
Felzmann, Isaías Bittencourt |
| title |
Impact of memory approximation on energy efficiency |
| title_short |
Impact of memory approximation on energy efficiency |
| title_full |
Impact of memory approximation on energy efficiency |
| title_fullStr |
Impact of memory approximation on energy efficiency |
| title_full_unstemmed |
Impact of memory approximation on energy efficiency |
| title_sort |
impact of memory approximation on energy efficiency |
| publisher |
Campo Mourao |
| publishDate |
2021 |
| citation |
FELZMANN, Isaías; FABRÍCIO FILHO, João; AZEVEDO, Rodolfo; WANNER, Lucas. Impact of memory approximation on energy efficiency. In: Symposium on High Performance Computing Systems, 19, 2018, São Paulo. Anais eletrônicos [...]. Los Alamitos: IEEE Computer Society, 2018, p. 53-60, DOI: http://dx.doi.org/10.1109/WSCAD.2018.00018. Disponível em: https://www.computer.org/csdl/proceedings-article/wscad/2018/377200a053/1bhIcMgMeyc. Acesso em: 28 dez. 2020. 9781728137728 |
| url |
http://repositorio.utfpr.edu.br/jspui/handle/1/23891 http://dx.doi.org/10.1109/WSCAD.2018.00018 |
| _version_ |
1805307342179270656 |
| score |
10,814766 |