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Erschienen in:
2013 | OriginalPaper | Buchkapitel
GSched: An Efficient Scheduler for Hybrid CPU-GPU HPC Systems
verfasst von : Mariano Raboso Mateos, Juan Antonio Cotobal Robles
Erschienen in: Distributed Computing and Artificial Intelligence
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Modern and efficient GPUs evolve towards a new integration paradigm for parallel processing systems, where Message-Passing Interfaces (MPI), Open MP and GPU architectures (CUDA) may be joined to perform a powerful high performance computation system (HPC). Nevertheless, this challenge requires much effort to properly integrate both technology and software programming. This paper describes GSched (Grid Scheduler), an optimized scheduler that allows distributing both CPU and GPU processor execution using a previous calculated optimum pattern, obtaining the best elapsed execution time for overall execution. Furthermore, high-level algorithm description is introduced to efficiently distribute processing and network resources.
