Adaptive sparse tiling for sparse matrix multiplication C Hong, A Sukumaran-Rajam, I Nisa, K Singh, P Sadayappan Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019 | 164 | 2019 |
Tgl: A general framework for temporal gnn training on billion-scale graphs H Zhou, D Zheng, I Nisa, V Ioannidis, X Song, G Karypis arXiv preprint arXiv:2203.14883, 2022 | 84 | 2022 |
Efficient sparse-matrix multi-vector product on GPUs C Hong, A Sukumaran-Rajam, B Bandyopadhyay, J Kim, SE Kurt, I Nisa, ... Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 81* | 2018 |
Load-balanced sparse mttkrp on gpus I Nisa, J Li, A Sukumaran-Rajam, R Vuduc, P Sadayappan 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 52 | 2019 |
Effective machine learning based format selection and performance modeling for SpMV on GPUs I Nisa, C Siegel, AS Rajam, A Vishnu, P Sadayappan 2018 IEEE International Parallel and Distributed Processing Symposium …, 2018 | 43 | 2018 |
Sampled dense matrix multiplication for high-performance machine learning I Nisa, A Sukumaran-Rajam, SE Kurt, C Hong, P Sadayappan 2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018 | 42 | 2018 |
An efficient mixed-mode representation of sparse tensors I Nisa, J Li, A Sukumaran-Rajam, PS Rawat, S Krishnamoorthy, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 40 | 2019 |
Parallel ccd++ on gpu for matrix factorization I Nisa, A Sukumaran-Rajam, R Kunchum, P Sadayappan Proceedings of the General Purpose GPUs, 73-83, 2017 | 25 | 2017 |
On improving performance of sparse matrix-matrix multiplication on gpus R Kunchum, A Chaudhry, A Sukumaran-Rajam, Q Niu, I Nisa, ... Proceedings of the International Conference on Supercomputing, 1-11, 2017 | 23 | 2017 |
Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication O Selvitopi, B Brock, I Nisa, A Tripathy, K Yelick, A Buluç Proceedings of the ACM International Conference on Supercomputing, 431-442, 2021 | 20 | 2021 |
Nimble gnn embedding with tensor-train decomposition C Yin, D Zheng, I Nisa, C Faloutsos, G Karypis, R Vuduc Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 9 | 2022 |
Parallel algorithms for masked sparse matrix-matrix products S Milakoviĉ, O Selvitopi, I Nisa, Z Budimliĉ, A Buluç Proceedings of the 51st International Conference on Parallel Processing, 1-11, 2022 | 8 | 2022 |
Distributed-Memory k-mer Counting on GPUs I Nisa, P Pandey, M Ellis, L Oliker, A Buluç, K Yelick 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021 | 8 | 2021 |
Parallel latent dirichlet allocation on gpus GE Moon, I Nisa, A Sukumaran-Rajam, B Bandyopadhyay, ... Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 4 | 2018 |
Optimizing irregular dense operators of heterogeneous gnn models on gpu I Nisa, M Wang, D Zheng, Q Fu, Ü Çatalyürek, G Karypis 2023 IEEE International Parallel and Distributed Processing Symposium …, 2023 | 3 | 2023 |
Pigeon: Optimizing cuda code generator for end-to-end training and inference of relational graph neural networks K Wu, M Hidayetoğlu, X Song, S Huang, D Zheng, I Nisa, W Hwu arXiv preprint arXiv:2301.06284, 2023 | 2 | 2023 |
GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes J Zhang, D Zheng, X Song, T Vasiloudis, I Nisa, J Lu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
GraphStorm: all-in-one graph machine learning framework for industry applications D Zheng, X Song, Q Zhu, J Zhang, T Vasiloudis, R Ma, H Zhang, Z Wang, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
Hector: An efficient programming and compilation framework for implementing relational graph neural networks in GPU architectures K Wu, M Hidayetoğlu, X Song, S Huang, D Zheng, I Nisa, W Hwu Proceedings of the 29th ACM International Conference on Architectural …, 2024 | | 2024 |
TGL: A general framework for temporal GNN training on billion-scale graphs D Zheng, I Nisa, VN Ioannidis, X Song, G Karypis | | 2022 |