计算机科学
路由器
编译程序
工具链
现场可编程门阵列
嵌入式系统
静态时序分析
布线(电子设计自动化)
计算机体系结构
开源
钥匙(锁)
编译时间
领域(数学分析)
忠诚
分布式计算
软件
操作系统
计算机网络
电信
数学分析
数学
作者
Yun Zhou,Pongstorn Maidee,Christopher Lavin,Alireza Kaviani,Dirk Stroobandt
出处
期刊:ACM Transactions on Reconfigurable Technology and Systems
[Association for Computing Machinery]
日期:2021-11-29
卷期号:15 (1): 1-27
被引量:13
摘要
One of the key obstacles to pervasive deployment of FPGA accelerators in data centers is their cumbersome programming model. Open source tooling is suggested as a way to develop alternative EDA tools to remedy this issue. Open source FPGA CAD tools have traditionally targeted academic hypothetical architectures, making them impractical for commercial devices. Recently, there have been efforts to develop open source back-end tools targeting commercial devices. These tools claim to follow an alternate data-driven approach that allows them to be more adaptable to the domain requirements such as faster compile time. In this paper, we present RWRoute, the first open source timing-driven router for UltraScale+ devices. RWRoute is built on the RapidWright framework and includes the essential and pragmatic features found in commercial FPGA routers that are often missing from open source tools. Another valuable contribution of this work is an open-source lightweight timing model with high fidelity timing approximations. By leveraging a combination of architectural knowledge, repeating patterns, and extensive analysis of Vivado timing reports, we obtain a slightly pessimistic, lumped delay model within 2% average accuracy of Vivado for UltraScale+ devices. Compared to Vivado, RWRoute results in a 4.9× compile time improvement at the expense of 10% Quality of Results (QoR) loss for 665 synthetic and six real designs. A main benefit of our router is enabling fast partial routing at the back-end of a domain-specific flow. Our initial results indicate that more than 9× compile time improvement is achievable for partial routing. The results of this paper show how such a router can be beneficial for a low touch flow to reduce dependency on commercial tools.
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