[HTML][HTML] Evaluating latency in multiprocessing embedded systems for the smart grid
Smart grid endpoints need to use two environments within a processing system (PS), one
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid
S Alonso, J Lázaro, J Jiménez, U Bidarte, L Muguira - Energies, 2021 - ideas.repec.org
Smart grid endpoints need to use two environments within a processing system (PS), one
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid
J Lázaro, J Jiménez, U Bidarte, L Muguira - Energies, 2021 - search.proquest.com
Smart grid endpoints need to use two environments within a processing system (PS), one
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid
S Alonso, J Lázaro, J Jiménez, U Bidarte… - Energies, 2021 - econpapers.repec.org
Smart grid endpoints need to use two environments within a processing system (PS), one
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid.
S Alonso, J Lázaro, J Jiménez, U Bidarte… - Energies …, 2021 - search.ebscohost.com
Smart grid endpoints need to use two environments within a processing system (PS), one
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …
with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management …