Aayush Ankit

48 papers A* 5A 4B 1Journal 33Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction.
CoRR
Jatin Chhugani, Geonhwa Jeong, Bor-Yiing Su, Yunjie Pan, Hanmei Yang, Aayush Ankit, Jiecao Yu, Summer Deng, Yunqing Chen, Nadathur Satish, Changkyu Kim
2025 J jnl
COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives.
CoRR
Shubham Negi, Manik Singhal, Aayush Ankit, Sudeep Bhoja, Kaushik Roy
2023 J jnl
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware.
ACM Comput. Surv.
Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
2023 J jnl
SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator.
IEEE Trans. Computers
Dong Eun Kim, Aayush Ankit, Cheng Wang, Kaushik Roy
2022 A conf
HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars.
DATE
Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy
2022 A conf
Identifying Efficient Dataflows for Spiking Neural Networks.
ISLPED
Deepika Sharma, Aayush Ankit, Kaushik Roy
2022 A* conf
NAX: neural architecture and memristive xbar based accelerator co-design.
DAC
Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
2021 — conf
Design Tools for Resistive Crossbar based Machine Learning Accelerators.
AICAS
Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan
2021 — conf
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators.
ASP-DAC
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
2021 J jnl
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems.
CoRR
Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
2021 J jnl
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning.
IEEE Access
Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy
2020 J jnl
Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators.
IEEE Micro
Aayush Ankit, Indranil Chakraborty, Amogh Agrawal, Mustafa Fayez Ali, Kaushik Roy
2020 J jnl
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence.
Nat. Mach. Intell.
Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
2020 — conf
Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence.
SiPS
Sourav Sanyal, Aayush Ankit, Craig M. Vineyard, Kaushik Roy
2020 A* conf
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks.
DAC
Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
2020 J jnl
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks.
CoRR
Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
2020 A* conf
In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview.
DAC
Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal
2020 J jnl
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing.
IEEE Access
Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy
2020 J jnl
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM.
IEEE Trans. Computers
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
2020 J jnl
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges.
Proc. IEEE
Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy
2020 J jnl
Structured Compression and Sharing of Representational Space for Continual Learning.
CoRR
Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy
2020 J jnl
TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Aayush Ankit, Timur Ibrayev, Abhronil Sengupta, Kaushik Roy
2019 J jnl
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge.
CoRR
Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy
2019 J jnl
Neural network accelerator design with resistive crossbars: Opportunities and challenges.
IBM J. Res. Dev.
Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan
2019 A conf
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design.
ICCAD
Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
2019 J jnl
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design.
CoRR
Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
2019 J jnl
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM.
CoRR
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
2019 J jnl
PCA-driven Hybrid network design for enabling Intelligence at the Edge.
CoRR
Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
2019 A* conf
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference.
ASPLOS
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
2019 J jnl
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference.
CoRR
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
2019 J jnl
Powerline Communication for Enhanced Connectivity in Neuromorphic Systems.
IEEE Trans. Very Large Scale Integr. Syst.
Aayush Ankit, Minsuk Koo, Shreyas Sen, Kaushik Roy
2019 J jnl
SPARE: Spiking Neural Network Acceleration Using ROM-Embedded RAMs as In-Memory-Computation Primitives.
IEEE Trans. Computers
Amogh Agrawal, Aayush Ankit, Kaushik Roy
2019 J jnl
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays.
IEEE Trans. Circuits Syst. I Regul. Pap.
Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy
2018 J jnl
An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain.
IEEE Trans. Emerg. Top. Comput. Intell.
Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2018 J jnl
Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks.
IEEE Trans. Multi Scale Comput. Syst.
Bing Han, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2018 J jnl
Energy-Efficient Neural Computing with Approximate Multipliers.
ACM J. Emerg. Technol. Comput. Syst.
Syed Shakib Sarwar, Swagath Venkataramani, Aayush Ankit, Anand Raghunathan, Kaushik Roy
2018 — conf
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning.
ICRC
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
2018 — conf
Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures.
SiPS
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2017 J jnl
An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain.
CoRR
Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2017 J jnl
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe, Kaushik Roy
2017 J jnl
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing.
CoRR
Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy
2017 B conf
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper).
IJCNN
Abhronil Sengupta, Aayush Ankit, Kaushik Roy
2017 A* conf
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks.
DAC
Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
2017 J jnl
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks.
CoRR
Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
2017 J jnl
SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive.
CoRR
Amogh Agrawal, Aayush Ankit, Kaushik Roy
2017 J jnl
TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design.
CoRR
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2017 A conf
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design.
ICCAD
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2016 J jnl
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition.
CoRR
Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe, Kaushik Roy