Multifunctional In-Memory Computation Architecture Using Single-Ended Disturb-Free 6T SRAM
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-1289-6_5
Reference12 articles.
1. Backus J (1978) Can programming be liberated from the von Neumann style? A functional style and its algebra of programs. Commun ACM 21:613–641. https://doi.org/10.1145/359576.359579
2. Wang Y, Yu H, Ni L, Huang G, Yan M, Weng C, Yang W, Zhao J (2015) An energy-efficient nonvolatile in-memory computing architecture for extreme learning machine by domain-wall nanowire devices. IEEE Trans Nanotechnol 14(6):998–1012. https://doi.org/10.1109/TNANO.2015.2447531
3. Jain S, Ranjan A, Roy K, Raghunathan A (2018) Computing in memory with spin-transfer torque magnetic RAM. IEEE Trans Very Large Scale Integr VLSI Syst 26(3):470–483. https://doi.org/10.1109/tvlsi.2017.2776954
4. Jeloka S, Akesh NB, Sylvester D, Blaauw D (2016) A 28 nm configurable memory (TCAM/BCAM/SRAM) using push-rule 6T bit cell enabling logic-in-memory. IEEE J Solid-State Circ 51(4):1009–1021. https://doi.org/10.1109/JSSC.2016.2515510
5. Fan D, Angizi S (2017) Energy efficient in-memory binary deep neural network accelerator with dual-mode SOT-MRAM. In: IEEE international conference on computer design (ICCD). IEEE Press, Boston, pp 609–612. https://doi.org/10.1109/iccd.2017.107
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