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Disambiguation of "Agrawal, Amogh"

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Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges.

, , , , , , , , and . Proc. IEEE, 108 (12): 2276-2310 (2020)

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Deepashri Agrawal

Mukesh Agrawal

Mudit Agrawal

Hemant Agrawal

Milan Agrawal

 

Other publications of authors with the same name

Cuffless BP measurement using a correlation study of pulse transient time and heart rate., , and . ICACCI, page 1538-1541. IEEE, (2014)In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview., , , , and . DAC, page 1-6. IEEE, (2020)Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges., , , , , , , , and . Proc. IEEE, 108 (12): 2276-2310 (2020)HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars., , , , , and . DATE, page 88-91. IEEE, (2022)RECache: ROM-Embedded 8-Transistor SRAM Caches for Efficient Neural Computing., and . SiPS, page 19-24. IEEE, (2018)IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array., , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 67-I (8): 2521-2531 (2020)Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives., , , , and . DATE, page 902-907. IEEE, (2021)On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks., , , , and . IJCNN, page 1-6. IEEE, (2019)Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design., , , and . ISLPED, page 1-6. IEEE, (2021)8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing., , , and . CoRR, (2018)