关注
Süreyya Emre Kurt
Süreyya Emre Kurt
在 cs.utah.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
78*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
402018
Efficient tiled sparse matrix multiplication through matrix signatures
SE Kurt, A Sukumaran-Rajam, F Rastello, P Sadayyapan
SC20: International Conference for High Performance Computing, Networking …, 2020
232020
Characterization of data movement requirements for sparse matrix computations on GPUs
SE Kurt, V Thumma, C Hong, A Sukumaran-Rajam, P Sadayappan
High Performance Computing (HiPC), 2017 IEEE 24th International Conference …, 2017
122017
Sparsity-aware tensor decomposition
SE Kurt, S Raje, A Sukumaran-Rajam, P Sadayappan
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022
62022
Communication Optimization for Distributed Execution of Graph Neural Networks
SE Kurt, J Yan, A Sukumaran-Rajam, P Pandey, P Sadayappan
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023
22023
BOA: A Partitioned View of Genome Assembly
P Ghosh, X An, P Keppler, SE Kurt, ÜV Çatalyürek, S Krishnamoorthy, ...
bioRxiv, 2022.05. 22.492973, 2022
12022
BOA: A partitioned view of genome assembly
X An, P Ghosh, P Keppler, SE Kurt, S Krishnamoorthy, P Sadayappan, ...
Iscience 25 (11), 2022
2022
Modeling Data Movement for Sparse Matrix and Tensor Computations
SE Kurt
The University of Utah, 2022
2022
Finding hidden hierarchy in social networks
SE Kurt
PQDT-Global, 2016
2016
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