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2020 – today
- 2024
[c19]Brett Witherspoon
, Aaron R. Young:
Event-Driven Sensing and Embedded Neuromorphic Platforms for Gamma Radiation Monitoring. ACM Great Lakes Symposium on VLSI 2024: 779-784- [c18]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 - [c17]Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter:
IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies. IPDPS (Workshops) 2024: 58-67 - [c16]Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter:
IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming. WAMTA 2024: 46-58 - 2023
- [j2]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) - [c15]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 - [c14]James Ghawaly, Aaron R. Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel:
Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector. ICONS 2023: 13:1-13:7 - [c13]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 - [c12]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 - [c11]Narasinga Rao Miniskar, Pruek Vanna-Iampikul, Aaron R. Young, Sung Kyu Lim, Frank Liu, Jieun Yoo, Corrinne Mills, Nhan Tran, Farah Fahim, Jeffrey S. Vetter:
A 3D Implementation of Convolutional Neural Network for Fast Inference. ISCAS 2023: 1-5 - [i2]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) - 2022
- [c10]Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter:
Ultra Low Latency Machine Learning for Scientific Edge Applications. FPL 2022: 1-7 - [c9]James Ghawaly, Aaron R. Young, Dan Archer, Nick Prins, Brett Witherspoon, Catherine D. Schuman:
A Neuromorphic Algorithm for Radiation Anomaly Detection. ICONS 2022: 22:1-22:6 - [c8]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 - [c7]Anthony M. Cabrera, Aaron R. Young, Jeffrey S. Vetter:
Design and analysis of CXL performance models for tightly-coupled heterogeneous computing. ExHET@PPOPP 2022: 1:1-1:6 - [c6]Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter:
Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. SMC 2022: 227-243 - [i1]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
- [c5]Anthony M. Cabrera, Aaron R. Young, Jacob Lambert, Zhili Xiao, Amy An, Seyong Lee, Zheming Jin, Jungwon Kim, Jeremy Buhler, Roger D. Chamberlain, Jeffrey S. Vetter:
Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs. IWOCL 2021: 7:1-7:9 - [c4]Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter:
A Hierarchical Task Scheduler for Heterogeneous Computing. ISC 2021: 57-76 - 2020
- [c3]Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman:
Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j1]Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose:
A Review of Spiking Neuromorphic Hardware Communication Systems. IEEE Access 7: 135606-135620 (2019) - 2018
- [c2]Catherine D. Schuman, Grant Bruer, Aaron R. Young, Mark E. Dean, James S. Plank:
Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks. IJCNN 2018: 1-8 - [c1]Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose, Catherine D. Schuman:
Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks. IJCNN 2018: 1-8
Coauthor Index
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last updated on 2024-12-17 21:50 CET by the dblp team
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