( en | de | ru )

 

Disambiguation of "Ankit, Aayush"

Author of the publication

copydeleteadd this publication to your clipboard
Powerline Communication for Enhanced Connectivity in Neuromorphic Systems.

, , , and . IEEE Trans. Very Large Scale Integr. Syst., 27 (8): 1897-1906 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ankit Mittal

Ankit Goyal

 

Other publications of authors with the same name

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)Identifying Efficient Dataflows for Spiking Neural Networks., , and . ISLPED, page 2:1-2:6. ACM, (2022)NAX: neural architecture and memristive xbar based accelerator co-design., , , and . DAC, page 451-456. ACM, (2022)Energy-Efficient Neural Computing with Approximate Multipliers., , , , and . ACM J. Emerg. Technol. Comput. Syst., 14 (2): 16:1-16:23 (2018)Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators., , , , , , , , , and 8 other author(s). ASP-DAC, page 372-377. ACM, (2021)GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks., , , , and . DAC, page 1-6. IEEE, (2020)PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference., , , , , , , , , and 1 other author(s). ASPLOS, page 715-731. ACM, (2019)RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks., , , and . DAC, page 27:1-27:6. ACM, (2017)