Nature-inspired Dragonfly Algorithm for High-Performance and Energy-Efficient Mapping of Deep Neural Networks in Networks-on- Chip

Research output: Contribution to conference › Paper › peer-review

Original language	American English
DOIs	https://doi.org/10.1109/MCSoC64144.2024.00037
State	Published - Dec 16 2024
Event	IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) - , Malaysia Duration: Dec 16 2024 → Dec 19 2024

Conference	IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
Country/Territory	Malaysia
Period	12/16/24 → 12/19/24

Access to Document

@conference{f95b63e476594f839d1a69ffe352e4b8,

title = "Nature-inspired Dragonfly Algorithm for High-Performance and Energy-Efficient Mapping of Deep Neural Networks in Networks-on- Chip",

author = "Reza, \{Md Farhadur\}",

year = "2024",

month = dec,

day = "16",

doi = "10.1109/MCSoC64144.2024.00037",

language = "American English",

note = "IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) ; Conference date: 16-12-2024 Through 19-12-2024",

}

TY - CONF

T1 - Nature-inspired Dragonfly Algorithm for High-Performance and Energy-Efficient Mapping of Deep Neural Networks in Networks-on- Chip

AU - Reza, Md Farhadur

PY - 2024/12/16

Y1 - 2024/12/16

U2 - 10.1109/MCSoC64144.2024.00037

DO - 10.1109/MCSoC64144.2024.00037

M3 - Paper

T2 - IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)

Y2 - 16 December 2024 through 19 December 2024

ER -