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Gordon Euhyun Moon

Observed names: Gordon E. Moon, Gordon Moon, Moon, Gordon E., Moon, Gordon Euhyun, Moon, Gordon Euhyun; Ellis, John; Sukumaran-Rajam, Aravind; Parthasarathy, Srinivasan; Sadayappan, P., Moon, Gordon Euhyun; Rajamanickam, Sivasankaran; Krishna, Tushar; Kwon, Hyoukjun; Chatarasi, Prasanth; Qin, Eric
Institution: Sogang University
Observed institutions: Sogang University, King Abdulaziz University, Korea Aerospace University, Sandia National Laboratories, The Ohio State University, MathWorks (United States)
ORCID: 0000-0003-4992-6181
Observed ORCID: 0000-0003-4992-6181
OpenAlex ID: A5023057376
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
2021 · Gordon Euhyun Moon, Hyoukjun Kwon, et al. · IEEE Transactions on Parallel and Distributed Systems · 32
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Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
2021 · Eric Qin, Geonhwa Jeong, et al. · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 24
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A Large-Scale Study in Predictability of Daily Activities and Places
2016 · Gordon Moon, Jihun Hamm · Mobile Computing, Applications, and Services · 18
Efficient GNN-based social recommender systems through social graph refinement
2024 · Sangmin Ga, Paul Hyunbin Cho, et al. · The Journal of Supercomputing · 12
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ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization
2020 · Gordon E. Moon, J. Austin Ellis, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 12
Tensor Core-Adapted Sparse Matrix Multiplication for Accelerating Sparse Deep Neural Networks
2024 · Yoonsang Han, Inseo Kim, et al. · Electronics · 8
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Accelerated Block-Sparsity-Aware Matrix Reordering for Leveraging Tensor Cores in Sparse Matrix-Multivector Multiplication
2024 · Eunji Lee, Yoonsang Han, et al. · Lecture notes in computer science · 8
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences
2022 · Moon, Gordon Euhyun, Cyr, Eric C. · arXiv (Cornell University) · 6
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Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
2021 · Gordon Moon, Hyoukjun Kwon, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 5
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PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization
2019 · Moon, Gordon E., Sukumaran-Rajam, Aravind, et al. · arXiv (Cornell University) · 5
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Exploiting Tensor Cores in Sparse Matrix-Multivector Multiplication via Block-Sparsity-Aware Clustering
2024 · Eunji Lee, Yoonsang Han, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 4
Parallel Latent Dirichlet Allocation on GPUs
2018 · Gordon E. Moon, Israt Nisa, et al. · Lecture notes in computer science · 4
ML-Based Dynamic Operator-Level Query Mapping for Stream Processing Systems in Heterogeneous Computing Environments
2024 · Sejeong Oh, Gordon Euhyun Moon, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 3
Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling
2024 · Bokyeong Yoon, Yoonsang Han, et al. · Lecture notes in computer science · 2
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Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings
2019 · Gordon E. Moon, Denis Newman-Griffis, et al. · Workshop on Machine Learning in HPC Environments · 2
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Mixed-Precision Schemes for Linear Algebra Kernels on GPUs.
2021 · Gordon Moon, Sivasankaran Rajamanickam · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1
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Hard but Not Too Hard: Semi-Hard Negative Sampling for Implicit Collaborative Filtering
2026 · Junha Park, Seyeon Choi, et al. · ACM International Conference on Information and Knowledge Management (CIKM)
TC-BELL: Measurement Data
2026 · INSEO KIM, Changwan Hong, et al. · Figshare
Randomized tensor-train truncation on GPUs for quantum-inspired computational fluid dynamics
2026 · Kiet Tuan Pham, Gordon Euhyun Moon, et al. · Computer Physics Communications
Block-structured matrix reordering for efficient SDDMM on tensor cores
2026 · Chengxing Zou, Changwan Hong, et al. · The Journal of Supercomputing
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D-HAT: Dynamic Hypergraph Representation Learning with Attention-Based Multi-Level Hypergraph Sampling
2025 · Ah-hyun Lee, Gordon Euhyun Moon · ACM International Conference on Information and Knowledge Management (CIKM)
Equilibria: Co-Optimizing Energy and Latency in Online ML-Based Stream Processing Systems
2025 · Sejeong Oh, Soyang Baek, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
Exploring Attention Sparsity to Accelerate Transformer Training on GPUs
2024 · Bokyeong Yoon, Ah-Hyun Lee, et al. · IEEE Access
Chronica: A Data-Imbalance-Aware Scheduler for Distributed Deep Learning
2023 · Sanha Maeng, Gordon Euhyun Moon, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
Adapting Multigrid-in-Time to Train Deep Neural Networks [Slides]
2022 · Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Eric Cyr, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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Works count: 32
Citation count: 146
H-index: 7
I10-index: 5
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