用于共享流处理加速器的实时多处理器架构

B. Dekens, M. Bekooij, G. Smit
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引用次数: 3

摘要

流处理加速器通常应用于mpsoc的软件定义无线电。在不同流之间共享这些加速器可以提高它们的利用率,从而降低硬件成本,但在实时性限制下具有挑战性。在本文中,我们介绍了入口和出口网关,它们负责在实时约束下通过加速器复用数据块。这些网关检查是否有足够的数据和空间可用,从而支持推导应用程序的数据流模型。数据流模型用于验证基于用于多路复用的数据块大小的最坏情况时间行为。我们证明了所需的缓冲容量在块大小上是非单调的。因此,提出了一个ILP来计算最小块大小和足够的缓冲容量。使用在Virtex 6 FPGA上实现的多核系统演示了共享加速器的好处。来自PAL视频信号的立体声音频流在该系统中实时解调,其中两个加速器在两个流内部和之间共享。在这个系统中,共享使加速器的数量减少了75%,逻辑单元的数量减少了63%。
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Real-Time Multiprocessor Architecture for Sharing Stream Processing Accelerators
Stream processing accelerators are often applied in MPSoCs for software defined radios. Sharing of these accelerators between different streams could improve their utilization and reduce thereby the hardware cost but is challenging under real-time constraints. In this paper we introduce entry- and exit-gateways that are responsible for multiplexing blocks of data over accelerators under real-time constraints. These gateways check for the availability of sufficient data and space and thereby enable the derivation of a dataflow model of the application. The dataflow model is used to verify the worst-case temporal behaviour based on the sizes of the blocks of data used for multiplexing. We demonstrate that required buffer capacities are non-monotone in the block size. Therefore, an ILP is presented to compute minimum block sizes and sufficient buffer capacities. The benefits of sharing accelerators are demonstrated using a multi-core system that is implemented on a Virtex 6 FPGA. A stereo audio stream from a PAL video signal is demodulated in this system in real-time where two accelerators are shared within and between two streams. In this system sharing reduces the number of accelerators by 75% and reduced the number of logic cells with 63%.
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