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Memory-Centric Hardware Synthesis from Dataflow Models

机译:基于数据流模型的以内存为中心的硬件综合

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Generation of hardware architectures directly from dataflow representations is increasingly being considered as research moves toward system level design methodologies. Creation of networks of IP cores to implement actor functionality is a common approach to the problem, but often the memory sub-systems produced using these techniques are inefficiently utilised. This paper explores some of the issues in terms of memory organisation and accesses when developing systems from these high level representations. Using a template matching design study, challenges such as modelling memory reuse and minimising buffer requirements are examined, yielding results with significantly less memory requirements and costly off-chip memory accesses.
机译:随着研究朝着系统级设计方法的方向发展,越来越多地考虑直接从数据流表示形式生成硬件体系结构。创建IP核网络以实现参与者功能是解决该问题的常用方法,但是使用这些技术生产的内存子系统通常效率不高。本文从这些高级表示开发系统时,从内存组织和访问方面探讨了一些问题。使用模板匹配的设计研究,研究了诸如对内存重用进行建模和最大程度地减少缓冲区需求之类的挑战,从而在显着减少内存需求和代价昂贵的片外内存访问的情况下产生了结果。

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