Israt Nisa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
9
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ASPLOS | Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. | Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu |
| 2024 | KDD | GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. | Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis |
| 2023 | KDD | GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes. | Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu |
| 2022 | ICPP | Parallel Algorithms for Masked Sparse Matrix-Matrix Products. | Srdan Milakovic, Oguz Selvitopi, Israt Nisa, Zoran Budimlic, Aydin Bulu |
| 2022 | KDD | Nimble GNN Embedding with Tensor-Train Decomposition. | Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc |
| 2022 | PPoPP | Parallel algorithms for masked sparse matrix-matrix products. | Srdan Milakovic, Oguz Selvitopi, Israt Nisa, Zoran Budimlic, Aydin Bulu |
| 2021 | ICS | Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication. | Oguz Selvitopi, Benjamin Brock, Israt Nisa, Alok Tripathy, Katherine A. Yelick, Aydin Bulu |
| 2019 | PPoPP | Adaptive sparse tiling for sparse matrix multiplication. | Changwan Hong, Aravind Sukumaran-Rajam, Israt Nisa, Kunal Singh, P. Sadayappan |
| 2019 | SC | An efficient mixed-mode representation of sparse tensors. | Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Prashant Singh Rawat, Sriram Krishnamoorthy, P. Sadayappan |
| 2018 | HiPC | Sampled Dense Matrix Multiplication for High-Performance Machine Learning. | Israt Nisa, Aravind Sukumaran-Rajam, Sreyya Emre Kurt, Changwan Hong, P. Sadayappan |
| 2018 | HPDC | Efficient sparse-matrix multi-vector product on GPUs. | Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Sreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, mit V. atalyrek, Srinivasan Parthasarathy, P. Sadayappan |
| 2018 | ICCS | Parallel Latent Dirichlet Allocation on GPUs. | Gordon Euhyun Moon, Israt Nisa, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Srinivasan Parthasarathy, P. Sadayappan |
| 2017 | ICS | On improving performance of sparse matrix-matrix multiplication on GPUs. | Rakshith Kunchum, Ankur Chaudhry, Aravind Sukumaran-Rajam, Qingpeng Niu, Israt Nisa, P. Sadayappan |
| 2017 | PPoPP | Parallel CCD++ on GPU for Matrix Factorization. | Israt Nisa, Aravind Sukumaran-Rajam, Rakshith Kunchum, P. Sadayappan |