基于SkyWater 130纳米技术和敏捷硬件设计流程的开源4 \ × 8$粗粒度可重构阵列

Po-Han Chen, Charles Tsao, Priyanka Raina
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引用次数: 0

摘要

随着Dennard扩展的结束,硬件专门化已被广泛应用于计算系统,以提高性能和能源效率。然而,引入新算法后,专用硬件很快就会被弃用。粗粒度可重构阵列(CGRA)提供了适应应用程序更改所需的可编程性,同时仍然比fpga和gpu更高效。这项工作提出了一个使用开源敏捷硬件编译器协同设计框架创建的$4\ × 8$ CGRA。这是首款采用开源SkyWater 130nm技术和OpenRAM内存编译器设计的CGRA芯片。为了验证敏捷硬件设计框架的技术可移植性,我们给出了CGRA架构、实现结果和硅验证结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Open-Source $4 \times 8$ Coarse-Grained Reconfigurable Array Using SkyWater 130 nm Technology and Agile Hardware Design Flow
With the end of Dennard scaling, hardware specialization has been broadly adopted in computing systems to improve performance and energy-efficiency. However, specialized hardware deprecates soon after new algorithms are introduced. A coarse-grained reconfigurable array (CGRA) offers the programmability required for accommodating application changes, while still being more efficient than FPGAs and GPUs. This work presents a $4\times 8$ CGRA created using an open-source agile hardware-compiler co-design framework. This is the first CGRA chip designed using the open-source SkyWater 130nm technology and OpenRAM memory compiler. We present the CGRA architecture, implementation results, and silicon validation results to verify the technology portability of agile hardware design framework.
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