Aaron R. Young
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
2018–2025
Best venue rank
B
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DATE | 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 |
| 2025 | EuroPar | 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 |
| 2025 | ICPP | IRIS-MASH: Efficient Multi-device Asynchronous Multi-Stream Heterogeneous Computing. | Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Kazi Asifuzzaman, Beau Johnston, Keita Teranishi, Jeffrey S. Vetter |
| 2025 | IJCNN | Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge. | James Ghawaly, Andrew D. Nicholson, Catherine D. Schuman, Dalton Diez, Aaron R. Young, Brett Witherspoon |
| 2025 | SC | ChatHPC: Building the Foundations for a Productive and Trustworthy AI-Assisted HPC Ecosystem. | Pedro Valero-Lara, Aaron R. Young, Jeffrey S. Vetter, Zheming Jin, Swaroop Pophale, Mohammad Alaul Haque Monil, Keita Teranishi, William F. Godoy |
| 2024 | SC | 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 |
| 2023 | ISCAS | 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 |
| 2022 | FPL | 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 |
| 2022 | PPoPP | Design and analysis of CXL performance models for tightly-coupled heterogeneous computing. | Anthony M. Cabrera, Aaron R. Young, Jeffrey S. Vetter |
| 2020 | IJCNN | 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 |
| 2018 | IJCNN | 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 |
| 2018 | IJCNN | 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 |