从粗粒度数据流规范进行硬件合成,实现快速硬件/软件协同合成

Hyunuk Jung, S. Ha
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引用次数: 1

摘要

本文研究了基于数据流图(DFG)规范的硬件自动合成技术,以实现硬件/软件快速协同合成。DFG中的一个节点表示一个粗粒度块(如FIR和DCT),一个块中的一个端口每次调用可能消耗多个数据样本,这将我们的方法与行为综合方法区别开来,并使问题复杂化。在该设计方法中,根据资源分配和调度信息,将具有特定算法的数据流图映射到各种硬件结构。与以前的方法相比,这简化了硬件设计中面积/性能权衡的管理,并扩大了数据流图硬件实现的设计空间。通过算例实验,验证了该方法的有效性。
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Hardware synthesis from coarse-grained dataflow specification for fast HW/SW cosynthesis
This paper concerns automatic hardware synthesis from data flow graph (DFG) specification for fast HW/SW cosynthesis. A node in DFG represents a coarse grain block such as FIR and DCT and a port in a block may consume multiple data samples per invocation, which distinguishes our approach from behavioral synthesis and complicates the problem. In the presented design methodology, a dataflow graph with specified algorithm can be mapped to various hardware structures according to the resource allocation and schedule information. This simplifies the management of the area/performance tradeoff in hardware design and widens the design space of hardware implementation of a dataflow graph compared with the previous approaches. Through experiments with some examples, the usefulness of the proposed technique is demonstrated.
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