用于无线基带的多线程粗粒度阵列处理器

T. Aa, M. Palkovic, Matthias Hartmann, P. Raghavan, A. Dejonghe, L. Perre
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引用次数: 13

摘要

无线通信标准的吞吐量不断增加。实现这些标准的系统的计算需求增加得更多。在电池供电的设备上,除了高性能之外,低功耗的实现也至关重要。只有在所有级别上使用并行才能达到这一点。ADRES处理器是一种嵌入式粗粒度可重构基带处理器,已经可以有效地利用数据级并行性(DLP)和指令级并行性(ILP)。在本文中,我们提出了扩展的地址,也有效地利用任务级并行(TLP)。我们将展示如何减少任务之间的通信和同步开销,并在802.11n 300Mbps标准的映射上进行演示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-threaded coarse-grained array processor for wireless baseband
Throughput of wireless communication standards ever increases. Computation requirements for systems implementing those standards increase even more. On battery operated devices, next to high performance a low power implementation is also crucial. Reaching this is only possible by utilizing parallelizations at all levels. The ADRES processor is an embedded coarse-grained reconfigurable baseband processor that already could exploit Data Level Parallelism (DLP), Instruction Level Parallelism (ILP) efficiently. In this paper we present extensions to ADRES to also exploit Task Level Parallelism (TLP) efficiently. We show how we reduce the overhead in communication and synchronization between tasks and demonstrate this on a mapping of an 802.11n 300Mbps standard.
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