An Initial Characterization of the Emu Chick. - Eric R. Hein; Tom Conte 001; Jeffrey Young 001; Srinivas Eswar; Jiajia Li 001; Patrick Lavin; Richard W. Vuduc; E. Jason Riedy (IPDPS Workshops, 2018)

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

PLANC: Parallel Low Rank Approximation with Non-negativity Constraints. - Srinivas Eswar; Koby Hayashi; Grey Ballard; Ramakrishnan Kannan; Michael A. Matheson; Haesun Park (CoRR, 2019)

A microbenchmark characterization of the Emu chick. - Jeffrey S. Young 001; Eric R. Hein; Srinivas Eswar; Patrick Lavin; Jiajia Li 001; E. Jason Riedy; Richard W. Vuduc; Tom Conte 001 (Parallel Comput., 2019)

Distributed-memory parallel symmetric nonnegative matrix factorization. - Srinivas Eswar; Koby Hayashi; Grey Ballard; Ramakrishnan Kannan; Richard W. Vuduc; Haesun Park (SC, 2020)

An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. - Delin Chu; Wenya Shi; Srinivas Eswar; Haesun Park (CoRR, 2020)

Programming Strategies for Irregular Algorithms on the Emu Chick. - Eric R. Hein; Srinivas Eswar; Abdurrahman Yasar; Jiajia Li 001; Jeffrey S. Young 001; Thomas M. Conte; Ümit V. Çatalyürek; Richard W. Vuduc; E. Jason Riedy; Bora Uçar (ACM Trans. Parallel Comput., 2020)

ORCA: Outlier detection and Robust Clustering for Attributed graphs. - Srinivas Eswar; Ramakrishnan Kannan; Richard W. Vuduc; Haesun Park (J. Glob. Optim., 2021)

An Alternating Rank-k Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. - Delin Chu; Weya Shi; Srinivas Eswar; Haesun Park (SIAM J. Matrix Anal. Appl., 2021)

PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints. - Srinivas Eswar; Koby Hayashi; Grey Ballard; Ramakrishnan Kannan; Michael A. Matheson; Haesun Park (ACM Trans. Math. Softw., 2021)

Scalable Data Mining via Constrained Low Rank Approximation. - Srinivas Eswar (2022)

Distributed-Memory Parallel JointNMF. - Srinivas Eswar; Benjamin Cobb; Koby Hayashi; Ramakrishnan Kannan; Grey Ballard; Richard W. Vuduc; Haesun Park (ICS, 2023)

AminerMag S Dataset. - Srinivas Eswar; Benjamin Cobb; Koby Hayashi; Ramakrishnan Kannan; Grey Ballard; Rich Vuduc; Haesun Park (Zenodo, 2023)

AminerMag X Dataset. - Srinivas Eswar; Benjamin Cobb; Koby Hayashi; Ramakrishnan Kannan; Grey Ballard; Rich Vuduc; Haesun Park (Zenodo, 2023)

On Rank Selection for Nonnegative Matrix Factorization. - Srinivas Eswar; Koby Hayashi; Benjamin Cobb; Ramakrishnan Kannan; Grey Ballard; Richard W. Vuduc; Haesun Park (IEEE Big Data, 2024)

Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors. - Srinivas Eswar; Vishwas Rao; Arvind K. Saibaba (CoRR, 2024)

Brief Announcement: Optimality Conditions for Parallel Communication-Avoiding Matrix Multiplication with Overlapped Communication. - Mikhail Isaev; Srinivas Eswar; Richard W. Vuduc (SPAA, 2025)

Structured Column Subset Selection for Bayesian Optimal Experimental Design. - Hugo Díaz; Arvind K. Saibaba; Srinivas Eswar; Vishwas Rao; Zichao Wendy Di (CoRR, 2025)