Improve defect tolerance in a cluster of a SRAM-based Mesh of Cluster FPGA using hardware redundancy - Sorbonne Université
Communication Dans Un Congrès Année : 2014

Improve defect tolerance in a cluster of a SRAM-based Mesh of Cluster FPGA using hardware redundancy

Résumé

The technological evolution involves a higher number of physical defects in circuits after manufacturing. One of the future challenge is to find a way to use a maximum of defected manufactured circuits. In this paper, multiple techniques are proposed to avoid defects in the cluster local interconnect of a SRAM-based Mesh of Clusters FPGA. Using defect tolerance, area and timing metrics, two previous hardware redundancy strategies are evaluated on the Mesh of Clusters architecture : Fine Grain Redundancy (FGR) and Improved Fine Grain Redundancy (IFGR). We show that using these techniques on a cluster of a Mesh of Clusters architecture permits to tolerate 8 times more defects than on an industrial Mesh FPGA with a low area overhead (-6% for FGR and 22% for IFGR) and a low increase of Critical Path Delay (CPD)(6% for FGR and 2% for IFGR). We also proposed three new redundancy strategies using spare resources : Distributed Feedbacks (DF) for crossbar down, Adapted Fine Grain Redundancy (AFGR) to avoid defective multiplexers and Upward Redundant Multiplexer (URM) for the crossbar up. Compared to the Mesh of Clusters architecture without defect tolerance techniques, the best trade off between defect tolerance (36.4%), area overhead (11.56%) and CPD (+7.46%) is obtained using AFGR. Using the other methods permits to considerably limit the area overhead (10.4% with URM) with a lesser number of defective elements bypassed (18% max).
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Dates et versions

hal-01162011 , version 1 (09-06-2015)

Identifiants

Citer

Adrien Blanchardon, Roselyne Chotin-Avot, Habib Mehrez, Emna Amouri. Improve defect tolerance in a cluster of a SRAM-based Mesh of Cluster FPGA using hardware redundancy. FPL 2014 - 24th International Conference on Field Programmable Logic and Applications, Sep 2014, Munich, Germany. pp.1-4, ⟨10.1109/FPL.2014.6927389⟩. ⟨hal-01162011⟩
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