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Träfflista för sökning "WFRF:(Moghaddami Khalilzad Nima 1986 ) "

Sökning: WFRF:(Moghaddami Khalilzad Nima 1986 )

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  • Grüttner, K., et al. (författare)
  • CONTREX : Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties
  • 2017
  • Ingår i: Microprocessors and microsystems. - : Elsevier B.V.. - 0141-9331 .- 1872-9436. ; 51, s. 39-55
  • Tidskriftsartikel (refereegranskat)abstract
    • The increasing processing power of today's HW/SW platforms leads to the integration of more and more functions in a single device. Additional design challenges arise when these functions share computing resources and belong to different criticality levels. CONTREX complements current activities in the area of predictable computing platforms and segregation mechanisms with techniques to consider the extra-functional properties, i.e., timing constraints, power, and temperature. CONTREX enables energy efficient and cost aware design through analysis and optimization of these properties with regard to application demands at different criticality levels. This article presents an overview of the CONTREX European project, its main innovative technology (extension of a model based design approach, functional and extra-functional analysis with executable models and run-time management) and the final results of three industrial use-cases from different domain (avionics, automotive and telecommunication).
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  • Majd, Amin, et al. (författare)
  • NOMeS : Near-Optimal Metaheuristic Scheduling for MPSoCs
  • 2017
  • Ingår i: 2017 19TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND DIGITAL SYSTEMS (CADS). - : IEEE. - 9781538643792 ; , s. 70-75
  • Konferensbidrag (refereegranskat)abstract
    • The task scheduling problem for Multiprocessor System-on-Chips (MPSoC), which plays a vital role in performance, is an NP-hard problem. Exploring the whole search space in order to find the optimal solution is not time efficient, thus metaheuristics are mostly used to find a near-optimal solution in a reasonable amount of time. We propose a novel metaheuristic method for near-optimal scheduling that can provide performance guarantees for multiple applications implemented on a shared platform. Applications are represented as directed acyclic task graphs (DAG) and are executed on an MPSoC platform with given communication costs. We introduce a novel multi-population method inspired by both genetic and imperialist competitive algorithms. It is specialized for the scheduling problem with the goal to improve the convergence policy and selection pressure. The potential of the approach is demonstrated by experiments using a Sobel filter, a SUSAN filter, RASTA-PLP and JPEG encoder as real-world case studies.
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  • Resultat 1-4 av 4

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