Aaron R. Young

According to our database, Aaron R. Young authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

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

A 3D Implementation of Convolutional Neural Network for Fast Inference.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 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

Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector.

James Ghawaly, Aaron R. Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

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

Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning.

Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

Design and analysis of CXL performance models for tightly-coupled heterogeneous computing.

Anthony M. Cabrera, Aaron R. Young, Jeffrey S. Vetter

Proceedings of the ExHET@PPoPP 2022: Proceedings of the 1st International Workshop on Extreme Heterogeneity Solutions, 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

A Neuromorphic Algorithm for Radiation Anomaly Detection.

James Ghawaly, Aaron R. Young, Dan Archer, Nick Prins, Brett Witherspoon, Catherine D. Schuman

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

Ultra Low Latency Machine Learning for Scientific Edge Applications.

Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

2021

A Hierarchical Task Scheduler for Heterogeneous Computing.

Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter

Proceedings of the High Performance Computing - 36th International Conference, 2021

Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs.

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

Proceedings of the IWOCL'21: International Workshop on OpenCL, Munich Germany, April, 2021, 2021

2020

Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks.

Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A Review of Spiking Neuromorphic Hardware Communication Systems.

Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose

IEEE Access, 2019

2018

Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks.

Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose, Catherine D. Schuman

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks.

Catherine D. Schuman, Grant Bruer, Aaron R. Young, Mark E. Dean, James S. Plank

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018