Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Isaias, B."'
Publikováno v:
In Molecular Catalysis June 2022 526
Publikováno v:
In Future Generation Computer Systems December 2020 113:556-570
Publikováno v:
In Future Generation Computer Systems January 2020 102:245-258
Autor:
Ro, Insoo, Aragao, Isaias B., Brentzel, Zachary J., Liu, Yifei, Rivera-Dones, Keishla R., Ball, Madelyn R., Zanchet, Daniela, Huber, George W., Dumesic, James A.
Publikováno v:
In Applied Catalysis B: Environment and Energy 5 September 2018 231:182-190
Autor:
Ro, Insoo, Aragao, Isaias B., Chada, Joseph P., Liu, Yifei, Rivera-Dones, Keishla R., Ball, Madelyn R., Zanchet, Daniela, Dumesic, James A., Huber, George W.
Publikováno v:
In Journal of Catalysis February 2018 358:19-26
Publikováno v:
Revista Diversidade & Educação, Vol 2, Iss 4, Pp 34-37 (2014)
Externí odkaz:
https://doaj.org/article/cac9f73af3c64938a26010fcda7c6ed3
Publikováno v:
Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
Universidade Tecnológica Federal do Paraná (UTFPR)
instacron:UTFPR
Universidade Tecnológica Federal do Paraná (UTFPR)
instacron:UTFPR
O arquivo disponibilizado é a versão Preprint do artigo publicado na Elsevier. Approximate memories expose data elements to errors in order to improve energy efficiency. For a large fraction of data, these errors are inconsequential or lead only to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27f41d10731a4c36dca2023bc96a510c
https://doi.org/10.1016/j.future.2020.07.029
https://doi.org/10.1016/j.future.2020.07.029
Publikováno v:
Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
Universidade Tecnológica Federal do Paraná (UTFPR)
instacron:UTFPR
Universidade Tecnológica Federal do Paraná (UTFPR)
instacron:UTFPR
Depositado neste repositório o arquivo contendo a versão Preprint do artigo publicado pela IEEE Approximate Computing offers enhanced energy efficiency by exploring quality relaxation on applications. Application-agnostic hardware-level techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::030ec7eaa43c94103f1f6dcdde041aff
https://doi.org/10.1109/tcad.2020.3012312
https://doi.org/10.1109/tcad.2020.3012312
Publikováno v:
Future Generation Computer Systems. 102:245-258
Approximate computing techniques enable significant improvements in energy efficiency by producing potentially incorrect outputs for a small subset of inputs of a given application. Approximations introduced at the hardware level, in particular, may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc2b40abea70718189e59c7f96e5effa
https://doi.org/10.1016/j.future.2019.07.073
https://doi.org/10.1016/j.future.2019.07.073
Publikováno v:
DATE
Representing the interaction between accurate and approximate hardware modules at the architecture level is essential to understand the impact of Approximate Computing in a general-purpose computing scenario. However, extensive effort is required to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::843234445dc9f49c05eecb146fa03efb
https://doi.org/10.23919/date51398.2021.9474258
https://doi.org/10.23919/date51398.2021.9474258