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 A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment 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 Ensembles of Networks Produced from Neural Architecture Search Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters Evolutionary Optimization for Neuromorphic Systems Caspian: A Neuromorphic Development Platform 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
