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ISEP - DM - Engenharia de Sistemas Computacionais Críticos

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http://hdl.handle.net/10400.22/23806

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Browsing ISEP - DM - Engenharia de Sistemas Computacionais Críticos by advisor "Carvalho, Tiago Diogo Ribeiro de"

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  • Performance monitoring of real-time applications in RISC-V platforms
    Publication . Soares, Nuno Filipe Pessoa; Carvalho, Tiago Diogo Ribeiro de
    Real-time systems are an important field of research, specially when considering that these systems interact with the real-world and their tasks have direct impact in human lives and society. It is imperative that the traceability and performance of these systems can be ensured. RISC-V is an open-source instruction set architecture, gaining interest from both industry and academia, specially in the context of real-time systems development due to its versatility and customization capabilities. The performance analysis of RISC-V systems emerges as a critical aspect, with the need to evaluate metrics, such as system efficiency and scalability, in order to deal with increasing workloads and tasks complexity. There is a lack of support for performance analysis, specially in real-time operating systems for RISC-V architectures, usually not providing full support to the latest performance monitoring related specifications, or being tangled to a specific operating system. This thesis provides a comprehensive study on performance analysis approaches on RISCV systems, exploring tools and solutions for performance monitoring of applications, that provide access to the system performance counters. As a solution, this work proposes an API capable of retrieving performance metrics from the hardware performance counters, accessible via code instrumentation over a target application. The API proposed works as a proof-of-concept for the development of more sophisticated tool capable of facilitating the retrieval and configuration of performance metrics from a RISC-V system. To access the API performance, some introductory tests have been performed to showcase that the API is capable of interacting and managing the hardware performance counters present on the system. Additionally, the overhead generated from the API was also analysed briefly, showcasing that the API has limited impact on the overall system’s performance when retrieving metrics from the hardware performance counters.
    2024-10-18Master thesis Open access Show more