Aayush Ankit
Aayush Ankit
AI and Advanced Architectures, Microsoft
Vahvistettu sähköpostiosoite verkkotunnuksessa microsoft.com - Kotisivu
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
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
Incremental learning in deep convolutional neural networks using partial network sharing
SS Sarwar, A Ankit, K Roy
IEEE Access 8, 4615-4628, 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
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
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
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
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
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
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
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
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
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks
I Chakraborty, MF Ali, DE Kim, A Ankit, K Roy
arXiv preprint arXiv:2003.06902, 2020
Neural network accelerator design with resistive crossbars: Opportunities and challenges
S Jain, A Ankit, I Chakraborty, T Gokmen, M Rasch, W Haensch, K Roy, ...
IBM Journal of Research and Development 63 (6), 10: 1-10: 13, 2019
Pabo: Pseudo agent-based multi-objective bayesian hyperparameter optimization for efficient neural accelerator design
M Parsa, A Ankit, A Ziabari, K Roy
arXiv preprint arXiv:1906.08167, 2019
Panther: A programmable architecture for neural network training harnessing energy-efficient reram
A Ankit, I El Hajj, S Agarwal, M Marinella, M Foltin, JP Strachan, ...
IEEE Transactions on Computers, 2020
Neuromorphic computing across the stack: Devices, circuits and architectures
A Ankit, A Sengupta, K Roy
2018 IEEE International Workshop on Signal Processing Systems (SiPS), 1-6, 2018
SPARE: Spiking Neural Network Acceleration Using ROM-Embedded RAMs as In-Memory-Computation Primitives
A Agrawal, A Ankit, K Roy
IEEE Transactions on Computers, 2018
TraNNsformer: Clustered Pruning on Crossbar-based Architectures for Energy Efficient Neural Networks
A Ankit, T Ibrayev, A Sengupta, K Roy
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019
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, 2020
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Artikkelit 1–20