Aaron Young Software Engineer Contact 865.341.2042 | YOUNGAR@ORNL.GOV All Publications IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning OR22-Neuromorphic Rad Detector-PD3Ra Final Report IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies Arithmetic Primitives for Efficient Neuromorphic Computing An FPGA-Based Neuromorphic Processor with All-to-All Connectivity On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments A survey on processing-in-memory techniques: Advances and challenges Encoding integers and rationals on neuromorphic computers using virtual neuron Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials A 3D Implementation of Convolutional Neural Network for Fast Inference Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning Virtual Neuron: A Neuromorphic Approach for Encoding Numbers Ultra Low Latency Machine Learning for Scientific Edge Applications Design and analysis of CXL performance models for tightly-coupled heterogeneous computing A Hierarchical Task Scheduler for Heterogeneous Computing Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Advanced Computing Systems Research Section Architectures and Performance Group
