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2020 – today
- 2023
[c6]Süreyya Emre Kurt, Jinghua Yan, Aravind Sukumaran-Rajam, Prashant Pandey, P. Sadayappan
:
Communication Optimization for Distributed Execution of Graph Neural Networks. IPDPS 2023: 512-523- 2022
- [c5]Süreyya Emre Kurt, Saurabh Raje, Aravind Sukumaran-Rajam, P. Sadayappan:
Sparsity-Aware Tensor Decomposition. IPDPS 2022: 952-962 - 2020
- [c4]Süreyya Emre Kurt, Aravind Sukumaran-Rajam, Fabrice Rastello, P. Sadayappan:
Efficient tiled sparse matrix multiplication through matrix signatures. SC 2020: 87
2010 – 2019
- 2018
- [c3]Israt Nisa, Aravind Sukumaran-Rajam, Süreyya Emre Kurt, Changwan Hong, P. Sadayappan:
Sampled Dense Matrix Multiplication for High-Performance Machine Learning. HiPC 2018: 32-41 - [c2]Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Süreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, Ümit V. Çatalyürek, Srinivasan Parthasarathy, P. Sadayappan:
Efficient sparse-matrix multi-vector product on GPUs. HPDC 2018: 66-79 - 2017
- [c1]Süreyya Emre Kurt, Vineeth Thumma, Changwan Hong, Aravind Sukumaran-Rajam, P. Sadayappan:
Characterization of Data Movement Requirements for Sparse Matrix Computations on GPUs. HiPC 2017: 283-293
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