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International Journal of Reconfigurable Computing
Volume 2010, Article ID 159367, 13 pages
Research Article

Mechanism of Resource Virtualization in RCS for Multitask Stream Applications

1Embedded Reconfigurable Systems Laboratory (ERSL), Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, M5B2K3, Canada
2MDA Space Missions, Brampton, ON, L6S4J3, Canada
3Department of Aerospace Engineering, Ryerson University, Toronto, ON, M5B2K3, Canada

Received 8 March 2010; Accepted 14 September 2010

Academic Editor: Lionel Torres

Copyright © 2010 L. Kirischian 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.


Virtualization of logic, routing, and communication resources in recent FPGA devices can provide a dramatic improvement in cost-efficiency for reconfigurable computing systems (RCSs). The presented work is “proof-of-concept” research for the virtualization of the above resources in partially reconfigurable FPGA devices with a tile-based architecture. The following aspects have been investigated, prototyped, tested, and analyzed: (i) platform architecture for hardware support of the dynamic allocation of Application Specific Virtual Processors (ASVPs), (ii) mechanisms for run-time on-chip ASVP assembling using virtual hardware Components (VHCs) as building blocks, and (iii) mechanisms for dynamic on-chip relocation of VHCs to predetermined slots in the target FPGA. All the above mechanisms and procedures have been implemented and tested on a prototype platform—MARS (multitask adaptive reconfigurable system) using a Xilinx Virtex-4 FPGA. The on-chip communication infrastructure has been developed and investigated in detail, and its timing and hardware overhead were analyzed. It was determined that component relocation can be done without affecting the ASVP pipeline cycle time and throughput. The hardware overhead was estimated as relatively small compared to the gain of other performance parameters. Finally, industrial applications associated with next generation space-borne platforms are discussed, where the proposed approach can be beneficial.