在片上共享存储器多处理器系统上监视通信信道

Daniela Genius, Nicolas Pouillon
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引用次数: 7

摘要

为了满足性能要求,流媒体应用已经映射到多处理器片上系统(MPSoC)。Kahn进程网络(KPN)范式在处理管道并行性时是足够的,但是这种点对点通道在存在大量任务场并行性时是不切实际的。多写入器多读取器(MWMR)通道以这样一种方式对KPN进行了一般化:多个写入器和多个读取器访问同一通道。它们被实现为存储在片上存储器中的软件通道,以适应硬件和软件任务的访问。这种实现的代价是增加了进出内存的流量。典型的代表是电信应用程序,它可以一次处理数百或数千个流,其中对每个数据包应用相同的处理链。这种处理的延迟取决于数据包的内容,因此无法预见。在访问MWMR通道的多个任务中,获得锁的时间是可变的。因此,MWMR通道的填充状态变化很大,为了检测潜在的瓶颈,对其进行监控至关重要。我们通过使用SoCLib/DSX展示了如何在设计过程的早期完成这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring communication channels on a shared memory multi-processor system on chip
To meet performance requirements, streaming applications have been mapped to Multi-Processor System on Chip (MPSoC). The Kahn Process Network (KPN) paradigm is sufficient when dealing with pipeline parallelism, but such point-to-point channels are impractical in the presence of massive task farm parallelism. Multi Writer Multi Reader (MWMR) channels generalize KPN in such a way that multiple writers and multiple readers access the same channel. They are implemented as software channels stored in on-chip memory to accommodate access by hardware and software tasks alike. The price to pay for this implementation is increased traffic to and from memory. Typical representatives are telecommunication applications which may treat hundreds or thousands of flows at a time, where the same chain of treatments is applied to every packet. The latency for this treatment depends on the packet's content, and can thus not be foreseen. Among multiple tasks which access a MWMR channel, the time to obtain a lock is variable. In consequence, fill states of MWMR channels vary heavily and it is crucial to monitor it in order to detect potential bottlenecks. We show how this can be done early in the design process by using SoCLib/DSX.
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