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Träfflista för sökning "WFRF:(Pasin Marcelo) "

Sökning: WFRF:(Pasin Marcelo)

  • Resultat 1-4 av 4
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1.
  • Cristal, Adrian, et al. (författare)
  • LEGaTO: First Steps Towards Energy-Efficient Toolset for Heterogeneous Computing
  • 2018
  • Ingår i: ACM International Conference Proceeding Series. - New York, NY, USA : ACM. ; , s. 210-217
  • Konferensbidrag (refereegranskat)abstract
    • LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage task-based programming models to provide a software ecosystem for Made-in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engines. The aim is to attain one order of magnitude energy savings from the edge to the converged cloud/HPC.
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2.
  • Cristal, Adrian, et al. (författare)
  • LEGaTO: Towards Energy-Efficient, Secure, Fault-tolerant Toolset for Heterogeneous Computing
  • 2018
  • Ingår i: Proceedings of the 15th ACM International Conference on Computing Frontiers. - New York, NY, USA : ACM. - 9781450357616 ; , s. 276-278
  • Konferensbidrag (refereegranskat)abstract
    • LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage task-based programming models to provide a software ecosystem for Made-in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engines. The aim is to attain one order of magnitude energy savings from the edge to the converged cloud/HPC.
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3.
  • Mika, Kevin, et al. (författare)
  • VEDLIoT: Next generation accelerated AIoT systems and applications
  • 2023
  • Ingår i: Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023. - 9798400701405
  • Konferensbidrag (refereegranskat)abstract
    • The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propose a holistic approach that focuses on optimizing algorithms while addressing safety and security challenges inherent to AIoT systems. The foundation of this approach lies in a modular and scalable cognitive IoT hardware platform, which leverages microserver technology to enable users to configure the hardware to meet the requirements of a diverse array of applications. Heterogeneous computing is used to boost performance and energy efficiency. In addition, the full spectrum of hardware accelerators is integrated, providing specialized ASICs as well as FPGAs for reconfigurable computing. The project's contributions span across trusted computing, remote attestation, and secure execution environments, with the ultimate goal of facilitating the design and deployment of robust and efficient AIoT systems. The overall architecture is validated on use-cases ranging from Smart Home to Automotive and Industrial IoT appliances. Ten additional use cases are integrated via an open call, broadening the range of application areas.
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4.
  • Pasin, Marcelo, et al. (författare)
  • Methods for requirements engineering, verification, security, safety, and robustness in aiot systems
  • 2023
  • Ingår i: Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications. - 9788770040266 ; , s. 197-228
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • This chapter presents methods for requirements engineering, verification, security, safety, and robustness with a special focus on AIoT systems. It covers an architectural framework dealing with requirements engineering aspects of distributed AIoT systems, covering several clusters of concern dealing with the context description of the system, learning environment of the deep-learning components, communication concerns, and a set of quality concerns, such as ethical aspects, safety, power, security, and privacy aspects. Each cluster contains a set of architectural views sorted into different levels of abstraction. In addition, it introduces WebAssembly as an interoperable environment that would run seamlessly across hardware devices and software stacks while achieving good performance and a high level of security as a critical requirement when processing data off-premises. To address security aspects in AIoT systems, remote attestation and certification mechanisms are introduced to provide a TOCTOU (time-of-check to time-of-use) secure way of ensuring the system's integrity.
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  • Resultat 1-4 av 4

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