@PHDTHESIS{ 2024:1295880268,
 	title = {ORCA RT-TOOLS : a suite of tools to support real-time analysis on manycore systems},
 	year = {2024},
 	url = "https://tede2.pucrs.br/tede2/handle/tede/11636",
 	abstract = "The COVID-19 pandemic allowed plenty of companies to enter the market offering solutions to help fight the SARS-CoV-2 virus, including robots for UV-C disinfection and autonomous vehicles. With the demand for computational resources growing in the criticalmission systems domain, the community began exploring resources from manycore platforms, which have a potential for parallelism compared to the single- and multi-core platforms currently used. However, critical-mission systems need support for several non-functional requirements for communication and computation, including real-time (RT). Over the years, different research communities have addressed RT guarantees for communication and computation. On the one hand, research on RT computing has advanced significantly for singleand multi-core platforms. On the other hand, RT communication research developed the socalled real-time intra-chip networks (RT-NoCs). As a result, the literature lacks an approach that tackles both perspectives of a system, mostly neglecting the joint analysis of computing and communication operations synchronization. This Thesis presents an approach to RT analysis in NoC-based manycores, which tackles computation and communication jointly. We used our approach to guarantee the RT requirements for computation and communication on a system without an RT-NoC, using a low-cost, open-source NoC. We validate our approach for synthetic and benchmark applications in an RTL simulation environment.",
 	publisher = {Pontif?cia Universidade Cat?lica do Rio Grande do Sul},
 	scholl = {Programa de P?s-Gradua??o em Ci?ncia da Computa??o},
 	note = {Escola Polit?cnica}
}