Nanda K. Unnikrishnan - researchr alias

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Viewing Publication 1 - 9 from 9

2023

SCV-GNN: Sparse Compressed Vector-Based Graph Neural Network AggregationNanda K. Unnikrishnan, Joe Gould, Keshab K. Parhi. tcad, 42(12):4803-4816, December 2023. [doi]

InterGrad: Energy-Efficient Training of Convolutional Neural Networks via Interleaved Gradient SchedulingNanda K. Unnikrishnan, Keshab K. Parhi. tcasI, 70(5):1949-1962, May 2023. [doi]

2022

Multi-Channel FFT Architectures Designed via Folding and InterleavingNanda K. Unnikrishnan, Keshab K. Parhi. iscas 2022: 142-146 [doi]

2021

Correction to "Brain-Inspired Computing: Models and Architectures"Keshab K. Parhi, Nanda K. Unnikrishnan. ojcands, 2:291, 2021. [doi]

LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor SchedulingNanda K. Unnikrishnan, Keshab K. Parhi. iccad 2021: 1-8 [doi]

2020

Brain-Inspired Computing: Models and ArchitecturesKeshab K. Parhi, Nanda K. Unnikrishnan. ojcands, 1:185-204, 2020. [doi]

A Gradient-Interleaved Scheduler for Energy-Efficient Backpropagation for Training Neural NetworksNanda K. Unnikrishnan, Keshab K. Parhi. iscas 2020: 1-5 [doi]

2019

Effect of Finite Word-Length on SQNR, Area and Power for Real-Valued Serial FFTNanda K. Unnikrishnan, Mario Garrido, Keshab K. Parhi. iscas 2019: 1-5 [doi]

2018

A Serial Commutator Fast Fourier Architecture for Real-Valued SignalsMario Garrido, Nanda K. Unnikrishnan, Keshab K. Parhi. tcas, 65-II(11):1693-1697, 2018. [doi]

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