Israt Nisa - RankMe

25 papers A* 3A 6B 3Misc 1Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD 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
2024	J	`jnl`	GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR Da Zheng, Xiang Song, Qi Zhu, Jiani 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
2024	—	`conf`	Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu
2023	A*	`conf`	GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes. KDD Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu
2023	—	`conf`	Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. IPDPS Workshops Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Ümit V. Çatalyürek, George Karypis
2023	J	`jnl`	PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. CoRR Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-mei W. Hwu
2022	A*	`conf`	Nimble GNN Embedding with Tensor-Train Decomposition. KDD Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
2022	J	`jnl`	Nimble GNN Embedding with Tensor-Train Decomposition. CoRR Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
2022	B	`conf`	Parallel Algorithms for Masked Sparse Matrix-Matrix Products. ICPP Srdan Milakovic, Oguz Selvitopi, Israt Nisa, Zoran Budimlic, Aydin Buluç
2022	B	`conf`	Parallel algorithms for masked sparse matrix-matrix products. PPoPP Srdan Milakovic, Oguz Selvitopi, Israt Nisa, Zoran Budimlic, Aydin Buluç
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs. CoRR Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis
2021	A	`conf`	Distributed-Memory k-mer Counting on GPUs. IPDPS Israt Nisa, Prashant Pandey, Marquita Ellis, Leonid Oliker, Aydin Buluç, Katherine A. Yelick
2021	A	`conf`	Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication. ICS Oguz Selvitopi, Benjamin Brock, Israt Nisa, Alok Tripathy, Katherine A. Yelick, Aydin Buluç
2021	J	`jnl`	Parallel Algorithms for Masked Sparse Matrix-Matrix Products. CoRR Srdan Milakovic, Oguz Selvitopi, Israt Nisa, Zoran Budimlic, Aydin Buluç
2019	B	`conf`	Adaptive sparse tiling for sparse matrix multiplication. PPoPP Changwan Hong, Aravind Sukumaran-Rajam, Israt Nisa, Kunal Singh, P. Sadayappan
2019	A	`conf`	An efficient mixed-mode representation of sparse tensors. SC Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Prashant Singh Rawat, Sriram Krishnamoorthy, P. Sadayappan
2019	A	`conf`	Load-Balanced Sparse MTTKRP on GPUs. IPDPS Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
2019	J	`jnl`	Load-Balanced Sparse MTTKRP on GPUs. CoRR Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
2018	—	`conf`	Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs. IPDPS Workshops Israt Nisa, Charles Siegel, Aravind Sukumaran-Rajam, Abhinav Vishnu, P. Sadayappan
2018	A	`conf`	Efficient sparse-matrix multi-vector product on GPUs. HPDC Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Süreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, Ümit V. Çatalyürek, Srinivasan Parthasarathy, P. Sadayappan
2018	—	`conf`	Parallel Latent Dirichlet Allocation on GPUs. ICCS (2) Gordon Euhyun Moon, Israt Nisa, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Srinivasan Parthasarathy, P. Sadayappan
2018	Misc	`conf`	Sampled Dense Matrix Multiplication for High-Performance Machine Learning. HiPC Israt Nisa, Aravind Sukumaran-Rajam, Süreyya Emre Kurt, Changwan Hong, P. Sadayappan
2017	A	`conf`	On improving performance of sparse matrix-matrix multiplication on GPUs. ICS Rakshith Kunchum, Ankur Chaudhry, Aravind Sukumaran-Rajam, Qingpeng Niu, Israt Nisa, P. Sadayappan
2017	—	`conf`	Parallel CCD++ on GPU for Matrix Factorization. GPGPU@PPoPP Israt Nisa, Aravind Sukumaran-Rajam, Rakshith Kunchum, P. Sadayappan