Aayush Ankit
Aayush Ankit
Hardware Architect, d-Matrix
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Cited by
Cited by
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
A Ankit, IE Hajj, SR Chalamalasetti, G Ndu, M Foltin, RS Williams, ...
Architecture Support for Programming Languages and Operating Systems (ASPLOS), 2019
Incremental learning in deep convolutional neural networks using partial network sharing
SS Sarwar, A Ankit, K Roy
IEEE Access 8, 4615-4628, 2019
Resparc: A reconfigurable and energy-efficient architecture with memristive crossbars for deep spiking neural networks
A Ankit, A Sengupta, P Panda, K Roy
Proceedings of the 54th Annual Design Automation Conference 2017, 27, 2017
Xcel-RAM: Accelerating binary neural networks in high-throughput SRAM compute arrays
A Agrawal, A Jaiswal, D Roy, B Han, G Srinivasan, A Ankit, K Roy
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (8), 3064-3076, 2019
An all-memristor deep spiking neural computing system: A step toward realizing the low-power stochastic brain
P Wijesinghe, A Ankit, A Sengupta, K Roy
IEEE Transactions on Emerging Topics in Computational Intelligence 2 (5 …, 2018
Panther: A programmable architecture for neural network training harnessing energy-efficient reram
A Ankit, I El Hajj, SR Chalamalasetti, S Agarwal, M Marinella, M Foltin, ...
IEEE Transactions on Computers 69 (8), 1128-1142, 2020
Geniex: A generalized approach to emulating non-ideality in memristive xbars using neural networks
I Chakraborty, MF Ali, DE Kim, A Ankit, K Roy
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
Energy-efficient neural computing with approximate multipliers
SS Sarwar, S Venkataramani, A Ankit, A Raghunathan, K Roy
ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-23, 2018
Resistive crossbars as approximate hardware building blocks for machine learning: Opportunities and challenges
I Chakraborty, M Ali, A Ankit, S Jain, S Roy, S Sridharan, A Agrawal, ...
Proceedings of the IEEE 108 (12), 2276-2310, 2020
In-memory computing in emerging memory technologies for machine learning: An overview
K Roy, I Chakraborty, M Ali, A Ankit, A Agrawal
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence
I Chakraborty, D Roy, I Garg, A Ankit, K Roy
Nature Machine Intelligence 2 (1), 43-55, 2020
Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware
N Rathi, I Chakraborty, A Kosta, A Sengupta, A Ankit, P Panda, K Roy
ACM Computing Surveys 55 (12), 1-49, 2023
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design
A Ankit, A Sengupta, K Roy
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 533-540, 2017
Mixed precision quantization for reram-based dnn inference accelerators
S Huang, A Ankit, P Silveira, R Antunes, SR Chalamalasetti, I El Hajj, ...
Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021
Hardware-software co-design for an analog-digital accelerator for machine learning
J Ambrosi, A Ankit, R Antunes, SR Chalamalasetti, S Chatterjee, I El Hajj, ...
2018 IEEE International Conference on Rebooting Computing (ICRC), 1-13, 2018
Pabo: Pseudo agent-based multi-objective bayesian hyperparameter optimization for efficient neural accelerator design
M Parsa, A Ankit, A Ziabari, K Roy
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019
FALCON: Feature driven selective classification for energy-efficient image recognition
P Panda, A Ankit, P Wijesinghe, K Roy
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
Performance analysis and benchmarking of all-spin spiking neural networks
A Sengupta, A Ankit, K Roy
Neural Networks (IJCNN), 2017 International Joint Conference on, 4557-4563, 2017
Circuits and architectures for in-memory computing-based machine learning accelerators
A Ankit, I Chakraborty, A Agrawal, M Ali, K Roy
IEEE Micro 40 (6), 8-22, 2020
Cross-layer design exploration for energy quality tradeoffs in spiking and non-spiking deep artificial neural networks
B Han, A Ankit, A Sengupta, K Roy
IEEE Transactions on Multi-Scale Computing Systems, 1-1, 2017
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