An Efficient MILP-Based Aging-Aware Floorplanner for Multi-Context Coarse-Grained Runtime Reconfigurable FPGAs
| Autor: | Yiorgos Makris, Mustafa M. Shihab, Carl Sechen, Benjamin Carrion Schaefer, Bo Hu |
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| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Very-large-scale integration Computer science business.industry Context (language use) Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology 01 natural sciences Floorplan 020202 computer hardware & architecture Embedded system 0103 physical sciences Hardware_INTEGRATEDCIRCUITS 0202 electrical engineering electronic engineering information engineering Field-programmable gate array Power network design business Integer programming |
| Zdroj: | DATE |
| Popis: | Shrinking transistor sizes are jeopardizing the reliability of runtime reconfigurable Field Programmable Gate Arrays (FPGAs), making them increasingly sensitive to aging effects such as Negative Bias Temperature Instability (NBTI). This paper introduces a reliability-aware floorplanner which is tailored to multi-context, coarse-grained, runtime reconfigurable architectures (CGRRAs) and seeks to extend their Mean Time to Failure (MTTF) by balancing the usage of processing elements (PEs). The proposed method is based on a Mixed Integer Linear Programming (MILP) formulation, the solution to which produces appropriately-balanced mappings of workload to PEs on the reconfigurable fabric, thereby mitigating aging-induced lifetime degradation. Results demonstrate that, as compared to the default reliability-unaware floorplanning solutions, the proposed method achieves an average MTTF increase of 2.5× without introducing any performance degradation. |
| Databáze: | OpenAIRE |
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