Saurabh Raje

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Tensor Decomposition

Scheduling Policies

Top Venues

Publications

Saurabh Raje, Yufan Xu, Atanas Rountev, Edward F. Valeev, Saday Sadayappan
CoNST: Code Generator for Sparse Tensor Networks. CoRR (2024)
Süreyya Emre Kurt, Saurabh Raje, Aravind Sukumaran-Rajam, P. Sadayappan
Sparsity-Aware Tensor Decomposition. IPDPS (2022)
Yufan Xu, Saurabh Raje, Atanas Rountev, Gerald Sabin, Aravind Sukumaran-Rajam, P. Sadayappan
Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution. CC (2022)
Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. IEEE BigData (2021)
Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru
Efficient Scaling of Dynamic Graph Neural Networks. CoRR (2021)
Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru
Efficient scaling of dynamic graph neural networks. SC (2021)
Saurabh Goyal, Anamitra Roy Choudhury, Saurabh Raje, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Ashish Verma
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination. ICML (2020)
Saurabh Raje, Frédéric Wagner
Kvik: A task based middleware with composable scheduling policies. CoRR (2020)
Saiyedul Islam, Sundar Balasubramaniam, Poonam Goyal, Ankit Sultana, Lakshit Bhutani, Saurabh Raje, Navneet Goyal
A Rapid Prototyping Approach for High Performance Density-Based Clustering. DSAA (2019)
Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal
On optimizing distributed non-negative Tucker decomposition. ICS (2019)
Saurabh Raje, Shyamal Vaderia, Neil Wilson, Rudrakh Panigrahi
Decentralised firewall for malware detection. CoRR (2017)