Shruti R. Kulkarni

According to our database, Shruti R. Kulkarni authored at least 35 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials.

Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar

Int. J. High Perform. Comput. Appl., July, 2023

Avoiding excess computation in asynchronous evolutionary algorithms.

Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong

Expert Syst. J. Knowl. Eng., June, 2023

Attention for Causal Relationship Discovery from Biological Neural Dynamics.

Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim

CoRR, 2023

Arithmetic Primitives for Efficient Neuromorphic Computing.

Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

An FPGA-Based Neuromorphic Processor with All-to-All Connectivity.

Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments.

Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing.

Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation.

Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

A review of non-cognitive applications for neuromorphic computing.

James B. Aimone, Prasanna Date, Gabriel A. Fonseca Guerra, Kathleen E. Hamilton, Kyle Henke, Bill Kay, Garrett T. Kenyon, Shruti R. Kulkarni, Susan M. Mniszewski, Maryam Parsa, Sumedh R. Risbud, Catherine D. Schuman, William Severa, J. Darby Smith

Neuromorph. Comput. Eng., June, 2022

Evolutionary vs imitation learning for neuromorphic control at the edge.

Catherine D. Schuman, Robert M. Patton, Shruti R. Kulkarni, Maryam Parsa, Christopher G. Stahl, Nicholas Quentin Haas, J. Parker Mitchell, Shay Snyder, Amelie Nagle, Alexandra Shanafield, Thomas E. Potok

Neuromorph. Comput. Eng., 2022

Publisher Correction: Opportunities for neuromorphic computing algorithms and applications.

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay

Nat. Comput. Sci., 2022

Opportunities for neuromorphic computing algorithms and applications.

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay

Nat. Comput. Sci., 2022

Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron.

Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter

CoRR, 2022

Neuromorphic Computing for Scientific Applications.

Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman

Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2022

Virtual Neuron: A Neuromorphic Approach for Encoding Numbers.

Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Semi-Supervised Graph Structure Learning on Neuromorphic Computers.

Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021

Benchmarking the performance of neuromorphic and spiking neural network simulators.

Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Neurocomputing, 2021

Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.

Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong

Proceedings of the Advances in Computational Intelligence Systems, 2021

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing.

Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems.

Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell

Proceedings of the International Joint Conference on Neural Networks, 2021

Neuromorphic Computing for Autonomous Racing.

Robert M. Patton, Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Nicholas Quentin Haas, Christopher G. Stahl, Spencer Paulissen, Prasanna Date, Thomas E. Potok, Shay Sneider

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation.

Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution.

Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Training Spiking Neural Networks Using Combined Learning Approaches.

Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems.

Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays.

Shruti R. Kulkarni, Shihui Yin, Jae-sun Seo, Bipin Rajendran

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays.

Shruti R. Kulkarni, Deepak Vinayak Kadetotad, Shihui Yin, Jae-Sun Seo, Bipin Rajendran

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2018

Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization.

Shruti R. Kulkarni, Bipin Rajendran

Neural Networks, 2018

Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks.

Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Acceleration of Convolutional Networks Using Nanoscale Memristive Devices.

Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran

Proceedings of the Engineering Applications of Neural Networks, 2018

2017

Spiking neural networks - Algorithms, hardware implementations and applications.

Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Learning and real-time classification of hand-written digits with spiking neural networks.

Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran

Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

2015

Live demonstration: Spiking neural circuit based navigation inspired by C. elegans thermotaxis.

Chirag Shetty, Sri Nitchith, Rishabh Rawat, S. R. Nandakumar, Pritesh Shah, Shruti R. Kulkarni, Bipin Rajendran

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Scalable Digital CMOS Architecture for Spike Based Supervised Learning.

Shruti R. Kulkarni, Bipin Rajendran

Proceedings of the Engineering Applications of Neural Networks, 2015

2013

Spiking neural network based ASIC for character recognition.

Shruti R. Kulkarni, Maryam Shojaei Baghini

Proceedings of the Ninth International Conference on Natural Computation, 2013