| Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication GE Moon, H Kwon, G Jeong, P Chatarasi, S Rajamanickam, T Krishna IEEE Transactions on Parallel and Distributed Systems 33 (4), 1002-1014, 2021 | 29 | 2021 |
| Extending Sparse Tensor Accelerators to Support Multiple Compression Formats E Qin, G Jeong, W Won, SC Kao, H Kwon, S Srinivasan, D Das, GE Moon, ... Proceedings of the 35th IEEE International Parallel & Distributed Processing …, 2021 | 25 | 2021 |
| A Large-Scale Study in Predictability of Daily Activities and Places G Moon, J Hamm Proceedings of the 8th EAI International Conference on Mobile Computing …, 2016 | 22 | 2016 |
| ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization GE Moon, JA Ellis, A Sukumaran-Rajam, S Parthasarathy, P Sadayappan Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 19* | 2020 |
| Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences GE Moon, EC Cyr International Conference on Learning Representations, 2022 | 7 | 2022 |
| Parallel Latent Dirichlet Allocation on GPUs GE Moon, I Nisa, A Sukumaran-Rajam, B Bandyopadhyay, ... International Conference on Computational Science, 259-272, 2018 | 6* | 2018 |
| Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings GE Moon, D Newman-Griffis, J Kim, A Sukumaran-Rajam, ... IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2019 | 5 | 2019 |
| Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling B Yoon, Y Han, GE Moon Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 158-170, 2024 | 2 | 2024 |
| ML-Based Dynamic Operator-Level Query Mapping for Stream Processing Systems in Heterogeneous Computing Environments S Oh, GE Moon, S Park 2024 IEEE International Conference on Cluster Computing (CLUSTER), 226-237, 2024 | 1 | 2024 |
| Accelerated Block-Sparsity-Aware Matrix Reordering for Leveraging Tensor Cores in Sparse Matrix-Multivector Multiplication E Lee, Y Han, GE Moon European Conference on Parallel and Distributed Computing (Euro-Par), 3-16, 2024 | 1 | 2024 |
| Efficient GNN-based social recommender systems through social graph refinement S Ga, PH Cho, GE Moon, S Jung The Journal of Supercomputing 81 (1), 1-24, 2025 | | 2025 |
| Tensor Core-Adapted Sparse Matrix Multiplication for Accelerating Sparse Deep Neural Networks Y Han, I Kim, J Kim, GE Moon Electronics 13 (20), 3981, 2024 | | 2024 |
| Exploring Attention Sparsity to Accelerate Transformer Training on GPUs B Yoon, AH Lee, J Kim, GE Moon IEEE Access 12, 131373-131384, 2024 | | 2024 |
| Chronica: A Data-Imbalance-Aware Scheduler for Distributed Deep Learning S Maeng, GE Moon, S Park Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, Cloud …, 2023 | | 2023 |
| Adapting Multigrid-in-Time to Train Deep Neural Networks [Slides] EC Cyr, S Guenther, L Ruthotto, JB Schroder, NR Gauger, G Moon, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Parallel Algorithms for Machine Learning GE Moon The Ohio State University, 2019 | | 2019 |
| Parallel LDA with Over-Decomposition GE Moon, A Sukumaran-Rajam, P Sadayappan IEEE 24th International Conference on High Performance Computing Workshops …, 2017 | | 2017 |
P SadayappanProfessor, Kahlert School of Computing, University of UtahZweryfikowany adres z cs.utah.edu