A Novel Approach for Accelerating Bitstream Relocation in Many-core Partially Reconfigurable Applications

Gilberto Ochoa-Ruiz (1) , Touiza Maamar (1) , El-Bay Bourennane (1) , Abderrezak Guessoum (2) , Kamel Messaoudi (1) , Mohamed Ali Hajjaji (1)

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]
2 LATSI - Laboratoire de Traitement de Signal et Imagerie [Blida]

Partial Bitstream Relocation (PBR) has been introduced in recent years, as a means to overcome the limitations of the traditional Xilinx Partial Reconfiguration flow, particularly in terms of the limited module placement, a fact that can greatly reduce the memory footprint of applications which require multiple implementations of the same module... However, PBR consumes scarce resources in hardware implementations, and introduces a prohibitive time overhead when done in software. This is particularly true in applications such as large scalable systems, which typically require multiple copies of the same module to accelerate a task, but in which the relocation time overhead might proof prohibitive. In order to find the best compromise between these approaches, we make use of the OORBIT tool (Offline /Online Relocation of Bitstreams) which helps us to accelerate the PBR considerably. In this paper, we compare the developed tool to others in previous works, specifically in the context of many-core applications; we give a particular importance to the reduction in the relocation time, which must to increase the time overhead already incurred by using partial reconfiguration. In this paper, we show how the tool has been used in this context, and a comparative analysis is detailed to highlight the significant relocation speedups that might help in making the relocation process more amenable

Domaines: Systèmes embarqués

Gilberto Ochoa-Ruiz, Touiza Maamar, El-Bay Bourennane, Abderrezak Guessoum, Kamel Messaoudi, et al.. A Novel Approach for Accelerating Bitstream Relocation in Many-core Partially Reconfigurable Applications. IEEE Conference on Control, Decision and Information Technologies, May 2013, Tunisia. pp.8. ⟨hal-00826524⟩