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Showing 1 to 2 of 2 for “"Workload partitioning"”.

  1. Autonomous grid scheduling using probabilistic job runtime scheduling

    … an extensive analysis of a representative Grid workload revealing consistent workflow patterns, usage cycles and correlations between the execution times of jobs and its properties commonly collected by the Grid middleware for accounting purposes. An automated approach is proposed to identify …

    ucl Repository record for Autonomous grid scheduling using probabilistic job runtime scheduling (opens in a new tab)

  2. Intelligent scheduling for simultaneous CPU-GPU applications

    … Previous research has addressed this issue of partitioning the workloads between CPU and GPU from various aspects for regular applications which have high parallelism and little data dependent control flows. However, it is still not clear how irregular applications, which behave differently on …

    uiuc Repository record for Intelligent scheduling for simultaneous CPU-GPU applications (opens in a new tab)