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International Journal of Reconfigurable Computing
Volume 2013 (2013), Article ID 789134, 40 pages
http://dx.doi.org/10.1155/2013/789134
Research Article

Rainbow: An Operating System for Software-Hardware Multitasking on Dynamically Partially Reconfigurable FPGAs

1Graduate School of Information Science, Nagoya University, C3-1 (631) Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
2Department of VLSI System Design, College of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi Kusatsu, Shiga 525-8577, Japan

Received 28 February 2013; Revised 4 July 2013; Accepted 8 July 2013

Academic Editor: Michael Hübner

Copyright © 2013 Krzysztof Jozwik et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Dynamic Partial Reconfiguration technology coupled with an Operating System for Reconfigurable Systems (OS4RS) allows for implementation of a hardware task concept, that is, an active computing object which can contend for reconfigurable computing resources and request OS services in a way software task does in a conventional OS. In this work, we show a complete model and implementation of a lightweight OS4RS supporting preemptable and clock-scalable hardware tasks. We also propose a novel, lightweight scheduling mechanism allowing for timely and priority-based reservation of reconfigurable resources, which aims at usage of preemption only at the time it brings benefits to the performance of a system. The architecture of the scheduler and the way it schedules allocations of the hardware tasks result in shorter latency of system calls, thereby reducing the overall OS overhead. Finally, we present a novel model and implementation of a channel-based intertask communication and synchronization suitable for software-hardware multitasking with preemptable and clock-scalable hardware tasks. It allows for optimizations of the communication on per task basis and utilizes point-to-point message passing rather than shared-memory communication, whenever it is possible. Extensive overhead tests of the OS4RS services as well as application speedup tests show efficiency of our approach.