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Aayush Ankit
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2020 – today
- 2023
- [j17]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): 243:1-243:49 (2023) - [j16]Dong Eun Kim
, Aayush Ankit
, Cheng Wang
, Kaushik Roy
:
SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator. IEEE Trans. Computers 72(9): 2615-2627 (2023) - 2022
- [c15]Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy:
NAX: neural architecture and memristive xbar based accelerator co-design. DAC 2022: 451-456 - [c14]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: 88-91 - [c13]Deepika Sharma
, Aayush Ankit, Kaushik Roy:
Identifying Efficient Dataflows for Spiking Neural Networks. ISLPED 2022: 2:1-2:6 - 2021
- [j15]Gobinda Saha
, Isha Garg
, Aayush Ankit
, Kaushik Roy
:
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning. IEEE Access 9: 150480-150494 (2021) - [c12]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: 1-4 - [c11]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: 372-377 - [i14]Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy:
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems. CoRR abs/2106.12125 (2021) - 2020
- [j14]Syed Shakib Sarwar
, Aayush Ankit
, Kaushik Roy
:
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. IEEE Access 8: 4615-4628 (2020) - [j13]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): 8-22 (2020) - [j12]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): 43-55 (2020) - [j11]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): 2276-2310 (2020) - [j10]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): 1128-1142 (2020) - [j9]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): 2361-2374 (2020) - [c10]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: 1-6 - [c9]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: 1-6 - [c8]Sourav Sanyal
, Aayush Ankit, Craig M. Vineyard, Kaushik Roy:
Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence. SiPS 2020: 1-6 - [i13]Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy:
Structured Compression and Sharing of Representational Space for Continual Learning. CoRR abs/2001.08650 (2020) - [i12]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 abs/2003.06902 (2020)
2010 – 2019
- 2019
- [j8]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): 10:1-10:13 (2019) - [j7]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): 1190-1200 (2019) - [j6]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. 66-I(8): 3064-3076 (2019) - [j5]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): 1897-1906 (2019) - [c7]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: 715-731 - [c6]Maryam Parsa
, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy:
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. ICCAD 2019: 1-8 - [i11]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 abs/1901.10351 (2019) - [i10]Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy:
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. CoRR abs/1902.00460 (2019) - [i9]Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR abs/1906.01493 (2019) - [i8]Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy:
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. CoRR abs/1906.08167 (2019) - [i7]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 abs/1912.11516 (2019) - 2018
- [j4]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): 16:1-16:23 (2018) - [j3]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): 345-358 (2018) - [j2]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): 613-623 (2018) - [c5]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: 1-13 - [c4]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures. SiPS 2018: 1-6 - 2017
- [j1]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): 2017-2029 (2017) - [c3]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: 27:1-27:6 - [c2]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. ICCAD 2017: 533-540 - [c1]Abhronil Sengupta, Aayush Ankit, Kaushik Roy:
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). IJCNN 2017: 4557-4563 - [i6]Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy:
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. CoRR abs/1702.06064 (2017) - [i5]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design. CoRR abs/1708.07949 (2017) - [i4]Amogh Agrawal, Aayush Ankit, Kaushik Roy:
SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive. CoRR abs/1711.07546 (2017) - [i3]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 abs/1712.01472 (2017) - [i2]Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy:
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. CoRR abs/1712.02719 (2017) - 2016
- [i1]Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe, Kaushik Roy:
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition. CoRR abs/1609.03396 (2016)
Coauthor Index
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