Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vitor Finotti"'
Autor:
Ajuha, Sudha, Shinoda, Ailton Akira, Ramalho, Lucas Arruda, Baulieu, Guillaume, Boudoul, Gaelle, Casarsa, Massimo, Cascadan, Andre, Clement, Emyr, de Paiva, Thiago Costa, Das, Souvik, Dutta, Suchandra, Eusebi, Ricardo, Fedi, Giacomo, Ferreira, Vitor Finotti, Hahn, Kristian, Hu, Zhen, Jindariani, Sergo, Konigsberg, Jacobo, Liu, Tiehui, Low, Jia Fu, MacDonald, Emily, Olsen, Jamieson, Palla, Fabrizio, Pozzobon, Nicola, Rathjens, Denis, Ristori, Luciano, Rossin, Roberto, Sung, Kevin, Tran, Nhan, Trovato, Marco, Ulmer, Keith, Vaz, Mario, Viret, Sebastien, Wu, Jin-Yuan, Xu, Zijun, Zorzetti, Silvia
We present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in collider physics experiments. The method described here is based on a full-mesh architectu
Externí odkaz:
http://arxiv.org/abs/2210.02489
Autor:
Sudha Ajuha, Ailton Akira Shinoda, Lucas Arruda Ramalho, Guillaume Baulieu, Gaelle Boudoul, Massimo Casarsa, Andre Cascadan, Emyr Clement, Thiago Costa de Paiva, Souvik Das, Suchandra Dutta, Ricardo Eusebi, Giacomo Fedi, Vitor Finotti Ferreira, Kristian Hahn, Zhen Hu, Sergo Jindariani, Jacobo Konigsberg, Tiehui Liu, Jia Fu Low, Emily MacDonald, Jamieson Olsen, Fabrizio Palla, Nicola Pozzobon, Denis Rathjens, Luciano Ristori, Roberto Rossin, Kevin Sung, Nhan Tran, Marco Trovato, Keith Ulmer, Mario Vaz, Sebastien Viret, Jin-Yuan Wu, Zijun Xu, Silvia Zorzetti
We present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in collider physics experiments. The method described here is based on a full-mesh architectu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2bdce3571a5ec9bea0eab6e149bcbc3
http://cds.cern.ch/record/2836592
http://cds.cern.ch/record/2836592
Autor:
Bruno Albertini, Vitor Finotti
Publikováno v:
Anais do XX Workshop em Desempenho de Sistemas Computacionais e de Comunicação (WPerformance 2021).
There is a myriad of projects that could be deployed on FPGA for architectural exploration. However, open-source platforms are scarce, and one with embedded software and operating system support to the application-specific hardware could not be found
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efa5d95a60d05b46790e9cda8d68bb72
https://doi.org/10.5753/wperformance.2021.15726
https://doi.org/10.5753/wperformance.2021.15726
Autor:
Bruno Albertini, Vitor Finotti
Publikováno v:
Computers and Electrical Engineering. 95:107446
Mobile and embedded applications of convolutional neural networks (CNNs) use quantization to reduce model size and increase computational efficiency. However, working with quantized networks often implies using non-standard training and execution met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c35faa9908704e8aceda11cf36f9c3a
https://doi.org/10.1016/j.compeleceng.2021.107446
https://doi.org/10.1016/j.compeleceng.2021.107446