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Summary: Globally Scheduled Real-Time
Multiprocessor Systems with GPUs
Glenn A. Elliott and James H. Anderson
Department of Computer Science, University of North Carolina at Chapel Hill
Abstract
Graphics processing units, GPUs, are powerful pro-
cessors that can offer significant performance advantages
over traditional CPUs. The last decade has seen rapid
advancement in GPU computational power and general-
ity. Recent technologies make it possible to use GPUs
as co-processors to the CPU. The performance advan-
tages of GPUs can be great, often outperforming tradi-
tional CPUs by orders of magnitude. While the motiva-
tions for developing systems with GPUs are clear, little
research in the real-time systems field has been done to
integrate GPUs into real-time multiprocessor systems. We
present two real-time analysis methods, addressing real-
world platform constraints, for such an integration into a
soft real-time multiprocessor system and show that a GPU
can be exploited to achieve greater levels of total system
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