Power-efficient mapping of large applications on modern heterogeneous FPGAs

The increasing size of modern FPGAs allows for ever more complex applications to be mapped onto them. However, long design implementation times for large designs can severely affect design productivity. A modular design methodology can improve design productivity in a divide and conqueror fashion bu...

全面介紹

Saved in:
書目詳細資料
Main Authors: Herath, Kalindu, Prakash, Alok, Fahmy, Suhaib A., Srikanthan, Thambipillai
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2021
主題:
在線閱讀:https://hdl.handle.net/10356/147714
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:The increasing size of modern FPGAs allows for ever more complex applications to be mapped onto them. However, long design implementation times for large designs can severely affect design productivity. A modular design methodology can improve design productivity in a divide and conqueror fashion but at the expense of degraded performance and power consumption of the resulting implementation. To reduce the dominant power dissipation component in FPGAs, the routing power, methodologies have been proposed that consider data communication between modules during module formation and placement on the FPGA. Selecting proper mapping region on target FPGAs, on the other hand, is becoming a critical process because of the heterogeneous resources and column arrangements in modern FPGAs. Selecting inappropriate FPGA regions for mapping could lead to degraded performance. Hence, we propose a methodology that uses communication-aware module placement, such that modules are mapped by selecting the best shape and region on the FPGA factoring the columnar resource arrangements. Additionally, techniques for module locking and splitting have been proposed for deterministic convergence of the algorithm and for improved module placement. This methodology exhibits nearly 19% routing power reduction with respect to commercial CAD flows without any degradation in achievable performance.