Decentralised firewall for malware detection. - Saurabh Raje; Shyamal Vaderia; Neil Wilson; Rudrakh Panigrahi (CoRR, 2017)

A Rapid Prototyping Approach for High Performance Density-Based Clustering. - Saiyedul Islam; Sundar Balasubramaniam; Poonam Goyal; Ankit Sultana; Lakshit Bhutani; Saurabh Raje; Navneet Goyal (DSAA, 2019)

On optimizing distributed non-negative Tucker decomposition. - Venkatesan T. Chakaravarthy; Shivmaran S. Pandian; Saurabh Raje; Yogish Sabharwal (ICS, 2019)

PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination. - Saurabh Goyal; Anamitra Roy Choudhury; Saurabh Raje; Venkatesan T. Chakaravarthy; Yogish Sabharwal; Ashish Verma 001 (ICML, 2020)

Kvik: A task based middleware with composable scheduling policies. - Saurabh Raje; Frédéric Wagner (CoRR, 2020)

HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. - Aswin Kannan; Anamitra Roy Choudhury; Vaibhav Saxena; Saurabh Raje; Parikshit Ram; Ashish Verma 001; Yogish Sabharwal (IEEE BigData, 2021)

Efficient scaling of dynamic graph neural networks. - Venkatesan T. Chakaravarthy; Shivmaran S. Pandian; Saurabh Raje; Yogish Sabharwal; Toyotaro Suzumura; Shashanka Ubaru (SC, 2021)

Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution. - Yufan Xu; Saurabh Raje; Atanas Rountev; Gerald Sabin; Aravind Sukumaran-Rajam; P. Sadayappan (CC, 2022)

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

CoNST: Code Generator for Sparse Tensor Networks. - Saurabh Raje; Yufan Xu; Atanas Rountev; Edward F. Valeev; Saday Sadayappan (CoRR, 2024)

CoNST: Code Generator for Sparse Tensor Networks. - Saurabh Raje; Yufan Xu; Atanas Rountev; Edward F. Valeev; P. Sadayappan (ACM Trans. Archit. Code Optim., 2024)