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ORCIDPrasanna Date
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- affiliation: Oak Ridge National Laboratory, TN, USA
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2020 – today
- 2024
[c30]Narasinga Rao Miniskar, Aaron R. Young, Kazi Asifuzzaman, Shruti R. Kulkarni, Prasanna Date, Alice Bean, Jeffrey S. Vetter:
Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering. ICONS 2024: 63-70- [c29]Ashish Gautam, Takashi Kohno, Prasanna Date, Robert M. Patton, Thomas E. Potok:
A Suppression-based STDP Rule Resilient to Jitter Noise in Spike Patterns for Neuromorphic Computing. ICONS 2024: 209-216 - [c28]Modeste Mefenya Kenne, Prasanna Date, Ronald T. Eguchi, ZhengHui Hu, Julie Rousseau, Nalini Venkatasubramanian:
iFair: Achieving Fairness in the Allocation of Scarce Resources for Senior Health Care. SMARTCOMP 2024: 22-30 - [i17]Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandra Shekar, Francisco Rios, John Gounley
, In-Saeng Suh, Travis S. Humble, Georgia D. Tourassi:
Adiabatic Quantum Support Vector Machines. CoRR abs/2401.12485 (2024) - 2023
- [j6]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:
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. 37(3-4): 351-379 (2023) - [c27]Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman:
Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. ICMLA 2023: 1541-1546 - [c26]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:
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS 2023: 3:1-3:8 - [c25]Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok:
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. ICONS 2023: 40:1-40:4 - [c24]Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar:
An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. ICRC 2023: 1-5 - [c23]Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter:
Arithmetic Primitives for Efficient Neuromorphic Computing. ICRC 2023: 1-5 - [c22]Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang:
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. QCE 2023: 272-282 - [c21]Dong Jun Woun, Prasanna Date:
Adiabatic Quantum Support Vector Machines. QCE 2023: 296-297 - [c20]Kathleen E. Hamilton, Mayanka Chandra Shekar, John Gounley, Dhanvi Bharadwaj, Prasanna Date, Eduardo Antonio Coello Pérez, In-Saeng Suh, Georgia D. Tourassi:
Characterizing Quantum Classifier Utility in Natural Language Processing Workflows. QCE 2023: 369-370 - [i16]Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok:
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. CoRR abs/2305.02510 (2023) - [i15]Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang:
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. CoRR abs/2307.09771 (2023) - [i14]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:
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR abs/2307.11242 (2023) - [i13]Samuel T. Bieberich, Ketan C. Maheshwari, Sean R. Wilkinson, Prasanna Date, In-Saeng Suh, Rafael Ferreira da Silva:
Bridging HPC and Quantum Systems using Scientific Workflows. CoRR abs/2310.03286 (2023) - 2022
- [j5]Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay:
Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. 2(1): 10-19 (2022) - [j4]Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay:
Publisher Correction: Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. 2(3): 205 (2022) - [j3]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:
A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 2(2): 32003 (2022) - [c19]Prasanna Date, Thomas E. Potok, Catherine D. Schuman, Bill Kay:
Neuromorphic Computing is Turing-Complete. ICONS 2022: 16:1-16:10 - [c18]Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman:
Semi-Supervised Graph Structure Learning on Neuromorphic Computers. ICONS 2022: 28:1-28:4 - [c17]Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC 2022: 100-105 - [c16]Davis Arthur, Prasanna Date:
Hybrid Quantum-Classical Neural Networks. QCE 2022: 49-55 - [c15]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:
Neuromorphic Computing for Scientific Applications. RSDHA@SC 2022: 22-28 - [e2]Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti R. Kulkarni, Yiran Chen, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch Wilson:
ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022. ACM 2022, ISBN 978-1-4503-9789-6 [contents] - [i12]Davis Arthur, Prasanna Date:
A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification. CoRR abs/2201.01820 (2022) - [i11]Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR abs/2208.07468 (2022) - 2021
- [j2]Davis Arthur, Prasanna Date:
Balanced k-means clustering on an adiabatic quantum computer. Quantum Inf. Process. 20(9): 294 (2021) - [c14]Prasanna Date, Bill Kay, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok:
Computational Complexity of Neuromorphic Algorithms. ICONS 2021: 8:1-8:7 - [c13]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:
Neuromorphic Computing for Autonomous Racing. ICONS 2021: 23:1-23:5 - [c12]Bill Kay, Catherine D. Schuman, Jade O'Connor, Prasanna Date, Thomas E. Potok:
Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow. ICONS 2021: 24:1-24:7 - [c11]David A. Quiroga, Prasanna Date, Raphael C. Pooser:
Discriminating Quantum States with Quantum Machine Learning. ICRC 2021: 56-63 - [c10]Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok:
Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. IPDPS Workshops 2021: 308-311 - [c9]David A. Quiroga, Prasanna Date, Raphael C. Pooser:
Discriminating Quantum States with Quantum Machine Learning. QCE 2021: 481-482 - [e1]Thomas E. Potok, Melika Payvand, Catherine D. Schuman, Prasanna Date, Mutsumi Kimura, Cory E. Merkel, Brad Aimone, Sonia M. Buckley, Yiran Chen, Gregory Cohen, Todd Hylton, Robert M. Patton, Robinson E. Pino, Garrett S. Rose:
ICONS 2021: International Conference on Neuromorphic Systems 2021, Knoxville, TN, USA, July 27-29, 2021. ACM 2021, ISBN 978-1-4503-8691-3 [contents] - [i10]Prasanna Date, Catherine D. Schuman, Bill Kay, Thomas E. Potok:
Neuromorphic Computing is Turing-Complete. CoRR abs/2104.13983 (2021) - [i9]Jie Chen, Prasanna Date, Nicholas Chancellor, Mohammed Atiquzzaman, Cormac J. Sreenan:
Controller-based Energy-Aware Wireless Sensor Network Routing using Quantum Algorithms. CoRR abs/2110.06321 (2021) - [i8]David A. Quiroga, Prasanna Date, Raphael C. Pooser:
Discriminating Quantum States with Quantum Machine Learning. CoRR abs/2112.00313 (2021) - 2020
- [c8]Kathleen E. Hamilton, Tiffany M. Mintz, Prasanna Date, Catherine D. Schuman:
Spike-based graph centrality measures. ICONS 2020: 26:1-26:8 - [c7]Kathleen E. Hamilton, Prasanna Date, Bill Kay, Catherine D. Schuman:
Modeling epidemic spread with spike-based models. ICONS 2020: 28:1-28:5 - [c6]Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail:
Training Deep Neural Networks with Constrained Learning Parameters. ICRC 2020: 107-115 - [c5]Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN 2020: 1-9 - [c4]Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton:
Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. IJCNN 2020: 1-10 - [c3]Bill Kay, Prasanna Date, Catherine D. Schuman:
Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees. NICE 2020: 6:1-6:6 - [i7]Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR abs/2005.04171 (2020) - [i6]Prasanna Date, Thomas E. Potok:
Adiabatic Quantum Linear Regression. CoRR abs/2008.02355 (2020) - [i5]Prasanna Date, Davis Arthur, Lauren Pusey-Nazzaro:
QUBO Formulations for Training Machine Learning Models. CoRR abs/2008.02369 (2020) - [i4]Davis Arthur, Prasanna Date:
Balanced k-Means Clustering on an Adiabatic Quantum Computer. CoRR abs/2008.04419 (2020) - [i3]Lauren Pusey-Nazzaro, Prasanna Date:
Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem. CoRR abs/2008.07456 (2020) - [i2]Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail:
Training Deep Neural Networks with Constrained Learning Parameters. CoRR abs/2009.00540 (2020) - [i1]Prasanna Date:
Quantum Discriminator for Binary Classification. CoRR abs/2009.01235 (2020)
2010 – 2019
- 2019
- [b1]Prasanna Date:
Combinatorial neural network training algorithm for neuromorphic computing. Rensselaer Polytechnic Institute, USA, 2019 - [j1]Prasanna Date, Robert M. Patton, Catherine D. Schuman, Thomas E. Potok:
Efficiently embedding QUBO problems on adiabatic quantum computers. Quantum Inf. Process. 18(4): 117 (2019) - 2018
- [c2]Prasanna Date, Christopher D. Carothers, James A. Hendler, Malik Magdon-Ismail:
Efficient Classification of Supercomputer Failures Using Neuromorphic Computing. SSCI 2018: 242-249 - 2016
- [c1]Prasanna Date, James A. Hendler, Christopher D. Carothers:
Design Index for Deep Neural Networks. BICA 2016: 131-138
Coauthor Index
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