Characterization of Data Movement Requirements for Sparse Matrix Computations on GPUs. - Süreyya Emre Kurt; Vineeth Thumma; Changwan Hong; Aravind Sukumaran-Rajam; P. Sadayappan (HiPC, 2017)

Sampled Dense Matrix Multiplication for High-Performance Machine Learning. - Israt Nisa; Aravind Sukumaran-Rajam; Süreyya Emre Kurt; Changwan Hong; P. Sadayappan (HiPC, 2018)

Efficient sparse-matrix multi-vector product on GPUs. - Changwan Hong; Aravind Sukumaran-Rajam; Bortik Bandyopadhyay; Jinsung Kim; Süreyya Emre Kurt; Israt Nisa; Shivani Sabhlok; Ümit V. Çatalyürek; Srinivasan Parthasarathy 001; P. Sadayappan (HPDC, 2018)

Efficient tiled sparse matrix multiplication through matrix signatures. - Süreyya Emre Kurt; Aravind Sukumaran-Rajam; Fabrice Rastello; P. Sadayappan (SC, 2020)

Sparsity-Aware Tensor Decomposition. - Süreyya Emre Kurt; Saurabh Raje; Aravind Sukumaran-Rajam; P. Sadayappan (IPDPS, 2022)

Communication Optimization for Distributed Execution of Graph Neural Networks. - Süreyya Emre Kurt; Jinghua Yan; Aravind Sukumaran-Rajam; Prashant Pandey; P. Sadayappan (IPDPS, 2023)