Self-stabilizing iterative solvers. - Piyush Sao; Richard W. Vuduc (ScalA@SC, 2013)

A Distributed CPU-GPU Sparse Direct Solver. - Piyush Sao; Richard W. Vuduc; Xiaoye Sherry Li (Euro-Par, 2014)

A distributed kernel summation framework for general-dimension machine learning. - Dongryeol Lee; Piyush Sao; Richard W. Vuduc; Alexander G. Gray (Stat. Anal. Data Min., 2014)

A Sparse Direct Solver for Distributed Memory Xeon Phi-Accelerated Systems. - Piyush Sao; Xing Liu; Richard W. Vuduc; Xiaoye S. Li (IPDPS, 2015)

A Self-Correcting Connected Components Algorithm. - Piyush Sao; Oded Green; Chirag Jain; Richard W. Vuduc (FTXS@HPDC, 2016)

A Communication-Avoiding 3D LU Factorization Algorithm for Sparse Matrices. - Piyush Sao; Xiaoye Sherry Li; Richard W. Vuduc (IPDPS, 2018)

Scalable and resilient sparse linear solvers. - Piyush Sao (2018)

A communication-avoiding 3D sparse triangular solver. - Piyush Sao; Ramakrishnan Kannan; Xiaoye Sherry Li; Richard W. Vuduc (ICS, 2019)

Multifrontal Non-negative Matrix Factorization. - Piyush Sao; Ramakrishnan Kannan (PPAM (1), 2019)

Self-stabilizing Connected Components. - Piyush Sao; Christian Engelmann; Srinivas Eswar; Oded Green; Richard W. Vuduc (FTXS@SC, 2019)

A communication-avoiding 3D algorithm for sparse LU factorization on heterogeneous systems. - Piyush Sao; Xiaoye S. Li; Richard W. Vuduc (J. Parallel Distributed Comput., 2019)

A supernodal all-pairs shortest path algorithm. - Piyush Sao; Ramakrishnan Kannan; Prasun Gera; Richard W. Vuduc (PPoPP, 2020)

Scalable knowledge graph analytics at 136 petaflop/s. - Ramakrishnan Kannan; Piyush Sao; Hao Lu 001; Drahomira Herrmannova; Vijay Thakkar; Robert M. Patton; Richard W. Vuduc; Thomas E. Potok (SC, 2020)

Traversing Large Graphs on GPUs with Unified Memory. - Prasun Gera; Hyojong Kim; Piyush Sao; Hyesoon Kim; David A. Bader (Proc. VLDB Endow., 2020)

Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. - Piyush Sao; Hao Lu 001; Ramakrishnan Kannan; Vijay Thakkar; Richard W. Vuduc; Thomas E. Potok (HPDC, 2021)

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. - Catherine D. Schuman; Bill Kay; Prasanna Date; Ramakrishnan Kannan; Piyush Sao; Thomas E. Potok (IPDPS Workshops, 2021)

A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs. - Andrey Prokopenko; Piyush Sao; Damien Lebrun-Grandié (ICPP, 2022)

Exaflops Biomedical Knowledge Graph Analytics. - Ramakrishnan Kannan; Piyush Sao; Hao Lu 001; Jakub Kurzak; Gundolf Schenk; Yongmei Shi; Seung-Hwan Lim; Sharat Israni; Vijay Thakkar; Guojing Cong; Robert M. Patton; Sergio E. Baranzini; et al. (SC, 2022)

Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. - Hao Lu 001; Piyush Sao; Michael A. Matheson; Ramakrishnan Kannan; Feiyi Wang; Thomas E. Potok (EuroMPI, 2023)

Unified Communication Optimization Strategies for Sparse Triangular Solver on CPU and GPU Clusters. - Yang Liu 179; Nan Ding 006; Piyush Sao; Samuel Williams 001; Xiaoye Sherry Li (SC, 2023)

Brief Announcement: Communication Optimal Sparse LU Factorization for Planar Matrices. - Piyush Sao; Xiaoye Sherry Li (SPAA, 2023)

Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver. - Xiaoye S. Li; Paul Lin; Yang Liu 179; Piyush Sao (ACM Trans. Math. Softw., 2023)

PANDORA: A Parallel Dendrogram Construction Algorithm for Single Linkage Clustering on GPU. - Piyush Sao; Andrey Prokopenko; Damien Lebrun-Grandié (ICPP, 2024)

Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures. - Yongseok Soh; Ramakrishnan Kannan; Piyush Sao; Jee W. Choi (ICPP, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)