Parallel Algorithm for Quasi-Band Matrix-Matrix Multiplication. - Dharma Teja Vooturi; Kishore Kothapalli (PPAM (1), 2015)

Parallelizing Hines Matrix Solver in Neuron Simulations on GPU. - Dharma Teja Vooturi; Kishore Kothapalli; Upinder Singh Bhalla (HiPC, 2017)

Efficient Inferencing of Compressed Deep Neural Networks. - Dharma Teja Vooturi; Saurabh Goyal; Anamitra R. Choudhury; Yogish Sabharwal; Ashish Verma 001 (CoRR, 2017)

Hierarchical Block Sparse Neural Networks. - Dharma Teja Vooturi; Dheevatsa Mudigere; Sasikanth Avancha (CoRR, 2018)

Efficient Sparse Neural Networks Using Regularized Multi Block Sparsity Pattern on a GPU. - Dharma Teja Vooturi; Kishore Kothapalli (HiPC, 2019)

Dynamic Block Sparse Reparameterization of Convolutional Neural Networks. - Dharma Teja Vooturi; Girish Varma; Kishore Kothapalli (ICCV Workshops, 2019)

A Study of BFLOAT16 for Deep Learning Training. - Dhiraj D. Kalamkar; Dheevatsa Mudigere; Naveen Mellempudi; Dipankar Das 002; Kunal Banerjee 001; Sasikanth Avancha; Dharma Teja Vooturi; Nataraj Jammalamadaka; Jianyu Huang; Hector Yuen; Jiyan Yang; Jongsoo Park; et al. (CoRR, 2019)

Ramanujan bipartite graph products for efficient block sparse neural networks. - Dharma Teja Vooturi; Girish Varma; Kishore Kothapalli (Concurr. Comput. Pract. Exp., 2023)

AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks. - Abhisek Kundu; Naveen K. Mellempudi; Dharma Teja Vooturi; Bharat Kaul; Pradeep Dubey (CoRR, 2023)