392
Views
0
CrossRef citations to date
0
Altmetric
Electrical & Electronic Engineering

Neural network detector with sparse codes for spin transfer torque magnetic random access memory

ORCID Icon
Article: 2231724 | Received 31 Dec 2022, Accepted 27 Jun 2023, Published online: 03 Jul 2023

References

  • Azad, Z., Farbeh, H., Monazzah, A. M. H., & Miremadi, S. G. (2019). AWARE: Adaptive Way Allocation for Reconfigurable ECCs to protect write errors in STT-RAM caches. IEEE Transactions on Emerging Topics in Computing, 7(3), 481–12. https://doi.org/10.1109/TETC.2017.2701880
  • Busyatras, W., Warisarn, C., Myint, L. M. M., & Kovintavewat, P. (2015). A TMR mitigation method based on readback signal in bitpatterned media recording. IEICE Transactions on Electronics, E98-C(8), 892–898. https://doi.org/10.1587/transele.E98.C.892
  • Cai, H., Chen, J., Zhou, Y., & Zhao, W. (2021). Toward energy-efficient STT-MRAM design with multi-modes reconfiguration. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2633–2639. https://doi.org/10.1109/TCSII.2021.3059031
  • Cai, K., & Schouhamer Immink, K. A. (2017). Cascaded channel model, analysis, and hybrid decoding for spin-torque transfer magnetic random access memory. IEEE Transactions on Magnetics, 53(11), 1–11. Art. no. 8204311. https://doi.org/10.1109/TMAG.2017.2711245
  • Chang, Y.-B., Park, D.-K., Park, N.-C., & Park, Y.-P. (2002). Prediction of track misregistration due to disk flutter in hard disk drive. IEEE Transactions on Magnetics, 38(2), 1441–1446. https://doi.org/10.1109/20.996050
  • Chollet, F. (2015). Keras. https://github.com/keras-team/keras
  • Everspin Technologies MR4A16B Features. Retrieved June, 2021, from https://www.everspin.com/file/156629/download
  • Girard, P., Cheng, Y., Virazel, A., Zhao, W., Bishnoi, R., and Tahoori, M. B. (2021). A survey of test and reliability solutions for magnetic random access memories. Proceedings IEEE. 109(2), pp. 149–169.
  • Goodfellow, I., Bengio, Y., Courville, A., & Bengio, Y. (2016). Deep learning (Vol. 1). MIT Press.
  • Google Brain, (2015). Tensorflow. https://www.tensorflow.org
  • Han, S., Kong, G., & Choi, S. (2019). A detection scheme with TMR estimation based on multi-layer perceptrons for bit patterned media recording. IEEE Transactions on Magnetics, 55(7), 1–4. https://doi.org/10.1109/TMAG.2018.2889875
  • Immink, K. A., & Cai, K. (2020). Dynamic threshold detection using clustering in the presence of channel mismatch and additive noise. IEEE Access, 8, 19319–19326. https://doi.org/10.1109/ACCESS.2020.2968945
  • Immink, K. A. S., & Weber, J. H. (2014). Minimum pearson distance detection for multilevel channels with gain and/or offset mismatch. IEEE Transactions on Information Theory, 60(10), 5966–5974. https://doi.org/10.1109/TIT.2014.2342744
  • Jiang, L., Deng, E., Zhang, H., Wang, Z., Kang, W., & Zhao, W. (2022). A spintronic in-memory computing network for efficient hamming codec implementation. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(4), 2086–2090. https://doi.org/10.1109/TCSII.2022.3144678
  • Mei, Z., Cai, K., and Zhong, X. (2019). Neural network-based dynamic threshold detection for non-volatile memories. Proceedings of the IEEE Int. Conf. Commun 20-24 May 2019 Shanghai, China. ICC (pp. 1–6).
  • Myint, L. M. M., & Supnithi, P. (2012). Off-track detection based on the readback signals in magnetic recording. IEEE Transactions on Magnetics, 48(11), 4590–4593. https://doi.org/10.1109/TMAG.2012.2204963
  • Nguyen, C. D. (2020). Design of 4/6 ITI-mitigating error correction modulation code for ultra-high-density bit-patterned media recording systems. Electronics Letters, 56(18), 931–934. https://doi.org/10.1049/el.2020.1324
  • Nguyen, C. D. (2021). On the design of 7/9-rate sparse code for spin-torque transfer magnetic random access memory. IEEE Access, 9, 164562–164569. https://doi.org/10.1109/ACCESS.2021.3134282
  • Nguyen, C. D., & Lee, J. (2015). Iterative detection supported by extrinsic information for holographic data storage systems. Electronics Letters, 51(23), 1857–1859. https://doi.org/10.1049/el.2015.2308
  • Nguyen, C. D, Nguyen, P. D, Nguyen, A., Pham, N. X., and Nguyen, K. D. (2021). Performance evaluation of neural network-based channel detection for STT-MRAM. 2021 8th NAFOSTED Conference on Information and Computer Science (NICS) ,21-22 December 2021, Hanoi, Vietnam (pp. 430–434). https://doi.org/10.1109/NICS54270.2021.9701555
  • Nguyen, C. D., Vu, V. K., & Cai, K. (2021). Two-dimensional weight-constrained codes for crossbar resistive memory arrays. IEEE Communications Letters, 25(5), 1435–1438. https://doi.org/10.1109/LCOMM.2021.3050159
  • Park, J., Ji, D. J., & Cho, D. H. (2021). High-order modulation based on deep neural network for physical-layer network coding. IEEE Wireless Communications Letters, 10(6), 1173–1177. https://doi.org/10.1109/LWC.2021.3060750
  • Schouhamer Immink, K. A., Cai, K., & Weber, J. H. (2018). Dynamic threshold detection based on pearson distance detection. IEEE Transactions on Communications, 66(7), 2958–2965. https://doi.org/10.1109/TCOMM.2018.2814618
  • Shao, W., Sha, J., & Zhang, C. (2018). Dispersed array LDPC codes and decoder architecture for NAND flash memory. IEEE Transactions on Circuits & Systems II: Express Briefs, 65(8), 1014–1018. https://doi.org/10.1109/TCSII.2017.2783438
  • Shiota, Y., Nozaki, T., Tamaru, S., Yakushiji, K., Kubota, H., Fukushima, A., Yuasa, S., & Suzuki, Y. (2016). Evaluation of write error rate for voltage-driven dynamic magnetization switching in magnetic tunnel junctions with perpendicular magnetization. Applied Physics Express, 9(1), 013001-1 – 013001-4. https://doi.org/10.7567/APEX.9.013001
  • Shreya, S., & Kaushik, B. K. (2020). Modeling of voltage-controlled spin–orbit torque MRAM for multilevel switching application. IEEE Transactions on Electron Devices, 67(1), 90–98. https://doi.org/10.1109/TED.2019.2951684
  • Wen, W., Mao, M., Zhu, X., Kang, S. H., Wang, D., and Chen, Y. (2013). CD-ECC: Content-dependent error correction codes for combating asymmetric non-volatile memory operation errors’, Proceedings of the IEEE/ACM Int. Conf. Comput.-Aided Design (ICCAD), 18-21 November 2013, San Jose, CA, USA (pp. 1–8). https://doi.org/10.1109/ICCAD.2013.6691090
  • Wu, B., Cheng, Y., Yang, J., Todri-Sanial, A., & Zhao, W. (2016). Temperature impact analysis and access reliability enhancement for 1T1MTJ STT-RAM. IEEE Transactions Rel, 65(4), 1755–1768. https://doi.org/10.1109/TR.2016.2608910
  • Zhang, L., Ma, Y., & Endoh, T. (2023). Efficient BCH code encoding and decoding algorithm with divisor-distance-based polynomial division for STT-MRAM. IEEE Transactions on Magnetics, 59(4), 1–8. https://doi.org/10.1109/TMAG.2022.3142917