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Creators/Authors contains: "Ali, Syed W"

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  1. ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available March 12, 2026
  2. ; ; ; ; ; ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available May 19, 2026
  3. ; ; ; (, Schloss Dagstuhl – Leibniz-Zentrum für Informatik)
    Pellizzoni, Rodolfo (Ed.)
    This paper presents a real-time locking protocol whose design was motivated by the goal of enabling safe GPU sharing in time-sliced component-based systems. This locking protocol enables a GPU to be shared concurrently across, and utilized within, isolated components with predictable execution times. It relies on a novel resizing technique where GPU work is dimensioned on-the-fly to run on partitions of an NVIDIA GPU. This technique can be applied to any component that internally utilizes global CPU scheduling. The proposed locking protocol enables increased GPU parallelism and reduces GPU capacity loss with analytically provable benefits. 
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