Chimera: Collaborative Preemption for Multitasking on a Shared GPU

  title={Chimera: Collaborative Preemption for Multitasking on a Shared GPU},
  author={Jason Jong Kyu Park and Yongjun Park and Scott A. Mahlke},
The demand for multitasking on graphics processing units (GPUs) is constantly increasing as they have become one of the default components on modern computer systems along with traditional processors (CPUs). Preemptive multitasking on CPUs has been primarily supported through context switching. However, the same preemption strategy incurs substantial overhead due to the large context in GPUs. The overhead comes in two dimensions: a preempting kernel suffers from a long preemption latency, and… CONTINUE READING
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