default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPrasanna Date
Person information
- affiliation: Oak Ridge National Laboratory, TN, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
