Dynamic reconfiguration architectures for multi-context FPGAs

Abstract

Field-programmable gate arrays (FPGAs) are being integrated with processors on the same motherboard or even chip in order to achieve flexible high-performance computing, and this may become main stream in chip multi-core architectures. However, the expensive FPGA area is often used inefficiently, with much of the logic idle at any given time. This work, motivated by the Dynamic-Link Library (DLL) concept in software, explores the possibility of “hardware DLLs” by finding ways for fast dynamic incremental reconfiguration of FPGAs. So doing would, among other things, enable same-function replication at any given time, with functions changing quickly over time, thereby enabling efficient exploitation of data parallelism at no additional hardware cost. We present two new multi-context FPGA architectures based on two different configuration storage architectures: local and centralized. Problems such as configuration storage and reconfiguration (time, power and space) overhead are considered. Well known area and power models are used in evaluating various approaches and in order to provide guidelines for matching architectures to target applications. Lastly, we provide insights into resulting scheduling issues. Our findings provide the foundation and “rules of the game” for subsequent development of reconfiguration schedulers and execution environments.