Beyond Dataflow
Beyond Dataflow
复制标题
超越数据流
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
T. Ungerer
中科院分区：
文献类型：
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作者：
B. Robic;J. Silc;T. Ungerer
本文介绍了一些最新的先进的嵌入式系统结构。虽然低功耗概念提供了高性能的潜力，但实际低功耗实现的性能可能受到有限数量的功能单元、有限的存储器带宽以及将未决操作与可用功能单元相关联地匹配的需要的限制。自20世纪70年代初以来，有显着的发展，在基础研究和实际实现的科洛计算模型。特别是，在多线程体系结构中，从Escherlow模型发展而来的研究和开发一直很活跃。也出现了一些其他的技术结合控制流和并行程序，如粗粒度并行程序，并行程序与复杂的机器操作，RISC并行程序，和微并行程序。这些发展也对“后RISC”时代的高性能超标量处理器的概念产生了一定的影响。
This paper presents some recent advanced dataflow architectures. While the dataflow concept offers the potential of high performance, the performance of an actual dataflow implementation can be restricted by a limited number of functional units, limited memory bandwidth, and the need to associatively match pending operations with available functional units. Since the early 1970s, there have been significant developments in both fundamental research and practical realizations of dataflow models of computation. In particular, there has been active research and development in multithreaded architectures that evolved from the dataflow model. Also some other techniques for combining control-flow and dataflow emerged, such as coarse-grain dataflow, dataflow with complex machine operations, RISC dataflow, and micro dataflow. These developments have also had certain impact on the conception of highperformance superscalar processors in the “post-RISC” era.