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Anand Raghunathan

Purdue University System

70H-index
515Paper Count
2.0WCitation Count
Published Papers 34
Publication Date
Softprox: A Post-Finetuning Methodology to Mitigate Softmax Bottlenecks in Transformer Workloads
err2026-04-01
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PREAI
errParvathy, Aradhana Mohan; Roy, Sourjya; Ghosh, Soumendu Kumar; Raha, Arnab; Mathaikutty, Deepak; Raghunathan, Anand
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LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN accelerators
err2024-10-04
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errOAAI
errNallathambi, Abinand; Bose, Christin David; Haensch, Wilfried; Raghunathan, Anand
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MixTrain: accelerating DNN training via input mixing
err2024-09-04
err0
errOAAI
errKrithivasan, Sarada; Sen, Sanchari; Venkataramani, Swagath; Raghunathan, Anand
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Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design Perspective
err2023-03-02
err28
errOAAI
errHaensch, Wilfried; Raghunathan, Anand; Roy, Kaushik; Chakrabarti, Bhaswar; Phatak, Charudatta M. M.; Wang, Cheng; Guha, Supratik
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STeP-CiM: Strain-Enabled Ternary Precision Computation-In-Memory Based on Non-Volatile 2D Piezoelectric Transistors
err2022-07-15
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errOAAI
errThakuria, Niharika; Elangovan, Reena; Thirumala, Sandeep K.; Raghunathan, Anand; Gupta, Sumeet K.
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Accelerating DNN Training Through Selective Localized Learning
err2022-01-11
err6
errOAAI
errKrithivasan, Sarada; Sen, Sanchari; Venkataramani, Swagath; Raghunathan, Anand
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Probabilistic Spike Propagation for Efficient Hardware Implementation of Spiking Neural Networks
err2021-07-15
err4
errOAAI
errNallathambi, Abinand; Sen, Sanchari; Raghunathan, Anand; Chandrachoodan, Nitin
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Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges
err2020-12-01
err62
errOAAI
errChakraborty, Indranil; Ali, Mustafa; Ankit, Aayush; Jain, Shubham; Roy, Sourjya; Sridharan, Shrihari; Agrawal, Amogh; Raghunathan, Anand; Roy, Kaushik
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Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks
err2020-01-01
err19
errOAAI
errAketi, Sai Aparna; Roy, Sourjya; Raghunathan, Anand; Roy, Kaushik
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SPARCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks
err2019-06-01
err26
errOAAI
errSen, Sanchari; Jain, Shubham; Venkataramani, Swagath; Raghunathan, Anand
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Energy Efficient Neural Computing: A Study of Cross-Layer Approximations
err2018-12-01
err33
errOAAI
errSarwar, Syed Shakib; Srinivasan, Gopalakrishnan; Han, Bing; Wijesinghe, Parami; Jaiswal, Akhilesh; Panda, Priyadarshini; Raghunathan, Anand; Roy, Kaushik
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CABA: Continuous Authentication Based on BioAura
err2017-05-01
err53
errOAAI
errMosenia, Arsalan; Sur-Kolay, Susmita; Raghunathan, Anand; Jha, Niraj K.
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Spin-Transfer Torque Memories: Devices, Circuits, and Systems
err2016-07-01
err157
PREAI
errFong, Xuanyao; Kim, Yusung; Venkatesan, Rangharajan; Choday, Sri Harsha; Raghunathan, Anand; Roy, Kaushik
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Physiological Information Leakage: A New Frontier in Health Information Security
err2016-07-01
err37
PREAI
errNia, Arsalan Mohsen; Sur-Kolay, Susmita; Raghunathan, Anand; Jha, Niraj K.
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Cache Design with Domain Wall Memory
err2016-04-01
err26
PREAI
errVenkatesan, Rangharajan; Kozhikkottu, Vivek J.; Sharad, Mrigank; Augustine, Charles; Raychowdhury, Arijit; Roy, Kaushik; Raghunathan, Anand
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Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare
err2015-11-01
err176
PREAI
errMozaffari-Kermani, Mehran; Sur-Kolay, Susmita; Raghunathan, Anand; Jha, Niraj K.
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