gpu驱动的鲁棒实时多处理器中断处理

Glenn A. Elliott, James H. Anderson
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引用次数: 37

摘要

多核芯片与图形处理单元(gpu)相结合的架构在许多必须支持计算密集型实时工作负载的领域中具有巨大的潜力。然而,与标准cpu不同,gpu被视为I/O设备,并且需要使用中断来促进与cpu的通信。考虑到中断的性质,在实时系统中必须小心处理中断。对于GPU驱动的中断,GPU驱动程序的闭源特性进一步加剧了这种破坏性。本文考虑了这类问题,并以LITMUS^RT的扩展klmirqd的形式给出了解决方案。klmirqd的设计目标是具有多个cpu和gpu的系统。在这种情况下,与中断相关的问题就会出现,这些问题以前没有解决过。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs
Architectures in which multicore chips are augmented with graphics processing units (GPUs) have great potential in many domains in which computationally intensive real-time workloads must be supported. However, unlike standard CPUs, GPUs are treated as I/O devices and require the use of interrupts to facilitate communication with CPUs. Given their disruptive nature, interrupts must be dealt with carefully in real-time systems. With GPU-driven interrupts, such disruptiveness is further compounded by the closed-source nature of GPU drivers. In this paper, such problems are considered and a solution is presented in the form of an extension to LITMUS^RT called klmirqd. The design of klmirqd targets systems with multiple CPUs and GPUs. In such settings, interrupt-related issues arise that have not been previously addressed.
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