Aayush Ankit

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 46

Top Topics

Pavement Distress

Top Venues

IEEE Trans. Computers

Publications

Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. 55 (12) (2023)
Dong Eun Kim, Aayush Ankit, Cheng Wang, Kaushik Roy
SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator. IEEE Trans. Computers 72 (9) (2023)
Deepika Sharma, Aayush Ankit, Kaushik Roy
Identifying Efficient Dataflows for Spiking Neural Networks. ISLPED (2022)
Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
NAX: neural architecture and memristive xbar based accelerator co-design. DAC (2022)
Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy
HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. DATE (2022)
Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC (2021)
Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning. IEEE Access 9 (2021)
Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan
Design Tools for Resistive Crossbar based Machine Learning Accelerators. AICAS (2021)
Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems. CoRR (2021)
Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. IEEE Access 8 (2020)
Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal
In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. DAC (2020)
Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. DAC (2020)
Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence. Nat. Mach. Intell. 2 (1) (2020)
Aayush Ankit, Timur Ibrayev, Abhronil Sengupta, Kaushik Roy
TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. CoRR (2020)
Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proc. IEEE 108 (12) (2020)
Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy
Structured Compression and Sharing of Representational Space for Continual Learning. CoRR (2020)
Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei Hwu, Kaushik Roy
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM. IEEE Trans. Computers 69 (8) (2020)
Aayush Ankit, Indranil Chakraborty, Amogh Agrawal, Mustafa Fayez Ali, Kaushik Roy
Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators. IEEE Micro 40 (6) (2020)
Sourav Sanyal, Aayush Ankit, Craig M. Vineyard, Kaushik Roy
Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence. SiPS (2020)
Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. CoRR (2019)
Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. CoRR (2019)
Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. ICCAD (2019)
Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan
Neural network accelerator design with resistive crossbars: Opportunities and challenges. IBM J. Res. Dev. 63 (6) (2019)
Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei W. Hwu, Kaushik Roy
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM. CoRR (2019)
Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. ASPLOS (2019)
Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-Mei Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. CoRR (2019)
Aayush Ankit, Minsuk Koo, Shreyas Sen, Kaushik Roy
Powerline Communication for Enhanced Connectivity in Neuromorphic Systems. IEEE Trans. Very Large Scale Integr. Syst. 27 (8) (2019)
Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR (2019)
Amogh Agrawal, Aayush Ankit, Kaushik Roy
SPARE: Spiking Neural Network Acceleration Using ROM-Embedded RAMs as In-Memory-Computation Primitives. IEEE Trans. Computers 68 (8) (2019)
Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2019)
Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic, Mohan Parthasarathy, Filipe Ribeiro, Lucas Rosa, Kaushik Roy, Plínio Silveira, John Paul Strachan
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC (2018)
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures. SiPS (2018)
Bing Han, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain. IEEE Trans. Emerg. Top. Comput. Intell. 2 (5) (2018)
Syed Shakib Sarwar, Swagath Venkataramani, Aayush Ankit, Anand Raghunathan, Kaushik Roy
Energy-Efficient Neural Computing with Approximate Multipliers. ACM J. Emerg. Technol. Comput. Syst. 14 (2) (2018)
Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain. CoRR (2017)
Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. CoRR (2017)
Amogh Agrawal, Aayush Ankit, Kaushik Roy
SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive. CoRR (2017)
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. ICCAD (2017)
Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe, Kaushik Roy
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (12) (2017)
Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. DAC (2017)
Abhronil Sengupta, Aayush Ankit, Kaushik Roy
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). IJCNN (2017)
Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. CoRR (2017)
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design. CoRR (2017)
Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe, Kaushik Roy
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition. CoRR (2016)