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 (IJCNN, 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 (IJCNN, 2018)

A Review of Spiking Neuromorphic Hardware Communication Systems. - Aaron R. Young; Mark E. Dean; James S. Plank; Garrett S. Rose (IEEE Access, 2019)

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 (IJCNN, 2020)

Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs. - Anthony M. Cabrera; Aaron R. Young; Jacob Lambert 002; Zhili Xiao; Amy An; Seyong Lee; Zheming Jin; Jungwon Kim; Jeremy Buhler; Roger D. Chamberlain; Jeffrey S. Vetter (IWOCL, 2021)

A Hierarchical Task Scheduler for Heterogeneous Computing. - Narasinga Rao Miniskar; Frank Liu 001; Aaron R. Young; Dwaipayan Chakraborty; Jeffrey S. Vetter (ISC, 2021)

Ultra Low Latency Machine Learning for Scientific Edge Applications. - Narasinga Rao Miniskar; Aaron R. Young; Frank Liu 001; Willem Blokland; Anthony M. Cabrera; Jeffrey S. Vetter (FPL, 2022)

A Neuromorphic Algorithm for Radiation Anomaly Detection. - James Ghawaly; Aaron R. Young; Dan Archer 002; Nick Prins; Brett Witherspoon; Catherine D. Schuman (ICONS, 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 (ICRC, 2022)

Design and analysis of CXL performance models for tightly-coupled heterogeneous computing. - Anthony M. Cabrera; Aaron R. Young; Jeffrey S. Vetter (ExHET@PPOPP, 2022)

Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. - Aaron R. Young; Narasinga Rao Miniskar; Frank Liu 001; Willem Blokland; Jeffrey S. Vetter (SMC, 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)

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 (ICONS, 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; et al. (ICONS, 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 (ICRC, 2023)

Arithmetic Primitives for Efficient Neuromorphic Computing. - Ahna Wurm; Rebecca Seay; Prasanna Date; Shruti R. Kulkarni; Aaron R. Young; Jeffrey S. Vetter (ICRC, 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 001; Jieun Yoo; Corrinne Mills; Nhan Tran; Farah Fahim; Jeffrey S. Vetter (ISCAS, 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 001; Yu Cao 001; Gu-Yeon Wei; et al. (Int. J. High Perform. Comput. Appl., 2023)

Event-Driven Sensing and Embedded Neuromorphic Platforms for Gamma Radiation Monitoring. - Brett Witherspoon; Aaron R. Young (ACM Great Lakes Symposium on VLSI, 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 (HPEC, 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 (ICONS, 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 (IPDPS (Workshops), 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 (SC Workshops, 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 (WAMTA, 2024)

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 (DATE, 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 (Euro-Par (2), 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 (NICE, 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; et al. (CoRR, 2025)