Polar coding is a new coding scheme that asymptotically achieves the capacity of several communication channels. Polar codes can be decoded with a successive cancellation (SC) decoder. In terms of hardware implementation, archi- tectural performance of SC decoders is limited by the memory complexity. In this paper, two complementary methods are proposed to reduce the memory footprint of current state-of- the-art SC decoders. These methods must also applicable to SC-List decoders. The impacts the decoding performance in a rather negligible manner (<0.02dB), as shown by per- formed simulations. The association of both methods allows a reduction of 16 ∼35% of the memory complexity for SC decoders depending on their quantization format.