Non-volatile memories in FPGAs: Exploiting logic similarity to accelerate reconfiguration and increase programming cycles
Yuan Xue, Patrick Cronin, Chengmo Yang, Jingtong Hu · 2015
Non-volatile memory (NVM) technologies have been known for their advantages of large capacity, low energy consumption, high error-resistance, and near-zero power-on delay. It is expected that they will replace traditional SRAM as FPGA reconfigurable blocks. While NVMs promise FPGAs with more reconfigurable resources, lower power consumption, and higher resilience to power interruptions, they also impose two new design challenges: the slow write performance of NVMs may degrade FPGA reconfiguration speed, while their limited write endurance constrains FPGA programming cycles. To overcome these challenges, we propose a similarity driven approach to reduce reconfiguration cost in NVM-based FPGAs. When synthesizing a new design, its similarity to the design currently on the FPGA is characterized by taking both LUT contents and CLB-level topology into consideration. The reconfiguration cost minimization problem is formulated as a bipartite graph matching problem and solved optimally. Experiments on standard circuit benchmarks show that the proposed algorithms eliminate more than 57.4% of NVM writes during the reconfiguration process, thus effectively improving performance and endurance of NVM-based FPGAs.