Aayush Ankit
Orcid: 0000-0003-2827-8306
According to our database1,
Aayush Ankit
authored at least 38 papers
between 2017 and 2023.
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Bibliography
2023
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware.
ACM Comput. Surv., December, 2023
IEEE Trans. Computers, September, 2023
2022
Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022
HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
2021
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems.
CoRR, 2021
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning.
IEEE Access, 2021
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM.
IEEE Trans. Computers, 2020
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges.
Proc. IEEE, 2020
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence.
Nat. Mach. Intell., 2020
Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators.
IEEE Micro, 2020
CoRR, 2020
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing.
IEEE Access, 2020
Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
IEEE Trans. Very Large Scale Integr. Syst., 2019
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019
SPARE: Spiking Neural Network Acceleration Using ROM-Embedded RAMs as In-Memory-Computation Primitives.
IEEE Trans. Computers, 2019
Neural network accelerator design with resistive crossbars: Opportunities and challenges.
IBM J. Res. Dev., 2019
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge.
CoRR, 2019
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design.
Proceedings of the International Conference on Computer-Aided Design, 2019
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019
2018
Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks.
IEEE Trans. Multi Scale Comput. Syst., 2018
An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain.
IEEE Trans. Emerg. Top. Comput. Intell., 2018
ACM J. Emerg. Technol. Comput. Syst., 2018
Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018
Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018
2017
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017
An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain.
CoRR, 2017
SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive.
CoRR, 2017
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper).
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks.
Proceedings of the 54th Annual Design Automation Conference, 2017