用于视频挖掘应用的多核处理器

Y. Matsumoto, H. Uchida, M. Hagimoto, Yasumori Hibi, S. Torii, Masamichi Izumida
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引用次数: 6

摘要

通过视频挖掘应用的架构-算法协同设计,我们设计了一个可扩展的多核处理器,该处理器由具有流处理能力的集群异构内核组成,并通过具有硬件软件机制的FIFO实现零开销的进程间通信。为了实现高性能和低功耗,特别是为了减少视频挖掘应用程序所需的内存访问,基于Kahn进程网络模型,对每个应用程序进行分区,利用任务和数据并行性,并将其编程为具有较大本地寄存器文件的分布式流处理。
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Manycore processor for video mining applications
Through Architecture-Algorithm co-design for Video Mining Applications we designed a scalable Manycore processor consists of clustered heterogeneous cores with stream processing capabilities, and zero-overhead inter-process communication through FIFO with a hardware-software mechanism. For achieving high-performance and low-power consumption, especially so as to reduce memory access required for Video Mining Applications, each application is partitioned to exploit both task and data parallelism, and programmed as a distributed stream processing with relatively large local register-file based on Kahn Process Network model.
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