Piyush Sao

According to our database, Piyush Sao authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Jim Demmel, Grace Dinh, David Gardener, Jan Fiala, Mark Gates, Azzam Haider, Toshiyuki Imamura, Pedro Valero-Lara, José E. Moreira, Xiaoye Sherry Li, Piotr Luszczek, Max Melichenko, Jose Moeira, Yvan Mokwinski, Riley Murray, Spencer Patty, Slaven Peles, Tobias Ribizel, E. Jason Riedy, Siva Rajamanickam, Piyush Sao, Manu Shantharam, Keita Teranishi, Stan Tomov, Yu-Hsiang Tsai, Heiko K. Weichelt

CoRR, 2024

Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures.

Yongseok Soh, Ramakrishnan Kannan, Piyush Sao, Jee W. Choi

Proceedings of the 53rd International Conference on Parallel Processing, 2024

PANDORA: A Parallel Dendrogram Construction Algorithm for Single Linkage Clustering on GPU.

Piyush Sao, Andrey Prokopenko, Damien Lebrun-Grandié

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver.

Xiaoye S. Li, Paul Lin, Yang Liu, Piyush Sao

ACM Trans. Math. Softw., March, 2023

Brief Announcement: Communication Optimal Sparse LU Factorization for Planar Matrices.

Piyush Sao, Xiaoye Sherry Li

Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023

Unified Communication Optimization Strategies for Sparse Triangular Solver on CPU and GPU Clusters.

Yang Liu, Nan Ding, Piyush Sao, Samuel Williams, Xiaoye Sherry Li

Proceedings of the International Conference for High Performance Computing, 2023

Optimizing Communication in 2D Grid-Based MPI Applications at Exascale.

Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok

Proceedings of the 30th European MPI Users' Group Meeting, 2023

2022

Exaflops Biomedical Knowledge Graph Analytics.

Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert M. Patton, Sergio E. Baranzini, Richard W. Vuduc, Thomas E. Potok

Proceedings of the SC22: International Conference for High Performance Computing, 2022

A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs.

Andrey Prokopenko, Piyush Sao, Damien Lebrun-Grandié

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers.

Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters.

Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

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 knowledge graph analytics at 136 petaflop/s.

Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok

Proceedings of the International Conference for High Performance Computing, 2020

A supernodal all-pairs shortest path algorithm.

Piyush Sao, Ramakrishnan Kannan, Prasun Gera, Richard W. Vuduc

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

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

Self-stabilizing Connected Components.

Piyush Sao, Christian Engelmann, Srinivas Eswar, Oded Green, Richard W. Vuduc

Proceedings of the 9th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2019

Multifrontal Non-negative Matrix Factorization.

Piyush Sao, Ramakrishnan Kannan

Proceedings of the Parallel Processing and Applied Mathematics, 2019

A communication-avoiding 3D sparse triangular solver.

Piyush Sao, Ramakrishnan Kannan, Xiaoye Sherry Li, Richard W. Vuduc

Proceedings of the ACM International Conference on Supercomputing, 2019

2018

Scalable and resilient sparse linear solvers.

Piyush Sao

PhD thesis, 2018

A Communication-Avoiding 3D LU Factorization Algorithm for Sparse Matrices.

Piyush Sao, Xiaoye Sherry Li, Richard W. Vuduc

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2016

A Self-Correcting Connected Components Algorithm.

Piyush Sao, Oded Green, Chirag Jain, Richard W. Vuduc

Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016

2015

A Sparse Direct Solver for Distributed Memory Xeon Phi-Accelerated Systems.

Piyush Sao, Xing Liu, Richard W. Vuduc, Xiaoye S. Li

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

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 Distributed CPU-GPU Sparse Direct Solver.

Piyush Sao, Richard W. Vuduc, Xiaoye Sherry Li

Proceedings of the Euro-Par 2014 Parallel Processing, 2014

2013

Self-stabilizing iterative solvers.

Piyush Sao, Richard W. Vuduc

Proceedings of the Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2013