Thomas Potok Section Head - Data and AI Systems Section Contact 865.574.0834 | POTOKTE@ORNL.GOV All Publications Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search Optimizing Communication in 2D Grid-Based MPI Applications at Exascale SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing Encoding integers and rationals on neuromorphic computers using virtual neuron Virtual Neuron: A Neuromorphic Approach for Encoding Numbers Neuromorphic Computing for Scientific Applications Exaflops Biomedical Knowledge Graph Analytics Neuromorphic Computing is Turing-Complete Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis Adiabatic quantum linear regression Computational Complexity of Neuromorphic Algorithms Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow Neuromorphic Computing for Autonomous Racing Computational Complexity of Neuromorphic Algorithms... Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers Scalable Knowledge Graph Analytics at 136 Petaflop/s Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design Automated Design of Neuromorphic Networks for Scientific Applications at the Edge A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Ensembles of Networks Produced from Neural Architecture Search Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters Caspian: A Neuromorphic Development Platform Evolutionary Optimization for Neuromorphic Systems Pagination Current page 1 Page 2 Page 3 … Next page ›â¶Äº Last page Last » Key Links Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section
