Aaron R. Young

According to our database, Aaron R. Young authored at least 28 papers between 2018 and 2025.

Collaborative distances:

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

2025

Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions.

Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young

CoRR, May, 2025

Evolution at the Edge: Real-Time Evolution for Neuromorphic Engine Control.

Karan Patel, Ethan Maness, Tyler Nitzsche, Emma G. Brown, Brett Witherspoon, Aaron R. Young, Bryan P. Maldonado, Brian C. Kaul, James S. Plank, Catherine D. Schuman

Proceedings of the Neuro Inspired Computational Elements, 2025

ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-Based Neuromorphic Processors.

Kazi Asifuzzaman, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Narasinga Rao Miniskar, Matthew J. Marinella, Jeffrey S. Vetter

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming.

Devin Pohl, Aaron R. Young, Kazi Asifuzzaman, Narasinga Rao Miniskar, Jeffrey S. Vetter

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming.

Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter

Proceedings of the Asynchronous Many-Task Systems and Applications, 2024

IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems.

Beau Johnston, Thibault de Boissiere, Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Aaron R. Young, Seyong Lee, Jeffrey S. Vetter

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies.

Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering.

Narasinga Rao Miniskar, Aaron R. Young, Kazi Asifuzzaman, Shruti R. Kulkarni, Prasanna Date, Alice Bean, Jeffrey S. Vetter

Proceedings of the International Conference on Neuromorphic Systems, 2024

IRIS-MEMFLOW: Data Flow-Enabled Portable Memory Orchestration in IRIS Runtime for Diverse Heterogeneity.

Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Pedro Valero-Lara, Aaron R. Young, Keita Teranishi, Jeffrey S. Vetter

Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

Event-Driven Sensing and Embedded Neuromorphic Platforms for Gamma Radiation Monitoring.

Brett Witherspoon, Aaron R. Young

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

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