Publications

Google Scholar

ORCID ID

Publications

Journal, Conference, and Workshop Papers

• A survey on processing-in-memory techniques: Advances and challenges, Kazi Asifuzzaman, Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Jeffrey S. Vetter, Memories - Materials, Devices, Circuits and Systems, 2022.
• A Neuromorphic Algorithm for Radiation Anomaly Detection, James Ghawaly, Aaron Young, Dan Archer, Nick Prins, Brett Witherspoon, Catherine Schuman, Proceedings of the International Conference on Neuromorphic Systems 2022, 2022.
• Design and Analysis of CXL Performance Models for Tightly-Coupled Heterogeneous Computing, Anthony M. Cabrera, Aaron R. Young, Jeffrey S. Vetter, ExHET ‘22: Proceedings of the 1st International Workshop on Extreme Heterogeneity Solutions, 2022.
• Heterogeneous Memory System Framework for HPC, Kazi Asifuzzaman, Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, and Jeffrey S. Vetter, ASCR Workshop on the Management and Storage of Scientific Data, 2022.
• A Hierarchical Task Scheduler for Heterogeneous Computing, Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter, International Conference on High Performance Computing, 2021, 57-76.
• Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs, Anthony Cabrera, Aaron Young, Jacob Lambert, Zhili Xiao, Amy An, Seyong Lee, Zheming Jin, Jungwon Kim, Jeremy Buhler, Roger Chamberlain, and Jeffrey Vetter, IWOCL’21: International Workshop on OpenCL, 2021.
• Emerging Heterogeneous Systems Provide Great Opportunities for Codesign, Aaron R. Young, Jeffrey S. Vetter, Frank Liu, Narasinga Rao Miniskar, Sarat Sreepathi, and Anthony M. Cabrera, ASCR Workshop on Reimagining Codesign, 2021.
• SNACC: The Scaled-up Neuromorphic Array Communications Controller, Aaron R. Young, PhD Dissertation, University of Tennessee, 2020.
• Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks, A. R. Young, A. Z. Foshie, M. E. Dean, J. S. Plank, G. S. Rose, J. P. Mitchell, and C. D. Schuman, IJCNN: The International Joint Conference on Neural Networks, 2020.
• A Review of Spiking Neuromorphic Hardware Communication Systems, A. R. Young, M. E. Dean, J. S. Plank and G. S. Rose, in IEEE Access, vol. 7, pp. 135606-135620, 2019.
• Understanding Selection and Diversity for Evolution of Spiking Recurrent Neural Networks, Catherine D. Shuman, Grant Bruer, Aaron R. Young, Mark Dean and James S. Plank, IJCNN: The International Joint Conference on Neural Networks, 2018.
• Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks, Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose and Catherine D. Schuman, IJCNN: The International Joint Conference on Neural Networks, 2018.
• Scalable High-Speed Communications for Neuromorphic Systems, Young, A. Masters Thesis, University of Tennessee, 2017.
• DANNA: A Neuromorphic Software Ecosystem, Adam Disney, John Reynolds, Catherine D. Schuman, Aleksander Klibisz, Aaron Young, and James S. Plank, Biologically Inspired Cognitive Architectures, Volume 9, 2016.
• Second Creek Monitoring, Whitaker, Haley; Young, Aaron; Wagner, Ryan; Haque, Saajid; Parrott, Benjamin; and Fagan, Richard, (2016). Chancellor’s Honors Program Projects.

Reports

• Hardware Evaluation Analytical Modeling and Node Simulation: Benefits of Tighter GPU Integration, Brian Austin, Ray Bair, Kevin Barker, Anthony Cabrera, Andrew Chien, Nan Ding, Jesun Firoz, Khaled Ibrahim, Joseph Manzano, Vitali Morozov, Tan Nguyen, Leonid Oliker, Joshua Suetterlein, Li Tang, Jeffrey Vetter, Samuel Williams, Kazutomo Yoshii, Aaron Young, Lawrence Berkeley National Laboratory, ECP-HIHE01-35, 2021.

Posters

• Poster: Neuromorphic Array Communications Controller, Aaron R. Young and Mark E. Dean, JDRD Symposium, 2019.
• Poster: DANNA Neuromorphic Application Development Kit Demo, Mark Dean, Aaron Young, Parker Mitchell, Patricia Eckhart, John Reynolds, Grant Bruer, Adam Disney, James Plank, and Catherine Schuman. 5th Neuro Inspired Computational Elements Workshop (NICE 2017), 2017.

Patents

• Hierarchical task scheduling for accelerators, Narasinga Rao Miniskar, Frank Y Liu, Aaron R Young, Jeffrey S Vetter, Dwaipayan Chakraborty, US-17542022, 2022.