Dense Matrix Computations on NUMA Architectures with Distance-Aware Work Stealing. - Rabab Alomairy; Guillermo Miranda; Hatem Ltaief; Rosa M. Badia; Xavier Martorell; Jesús Labarta; David E. Keyes (Supercomput. Front. Innov., 2015)

Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization. - Noha Al-Harthi; Rabab Alomairy; Kadir Akbudak; Rui Chen; Hatem Ltaief; Hakan Bagci 001; David E. Keyes (ISC, 2020)

Abstraction Layer For Standardizing APIs of Task-Based Engines. - Rabab Alomairy; Hatem Ltaief; Mustafa Abduljabbar; David E. Keyes (IEEE Trans. Parallel Distributed Syst., 2020)

A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization. - Qinglei Cao; Rabab Alomairy; Yu Pei; George Bosilca; Hatem Ltaief; David E. Keyes; Jack J. Dongarra (IPDPS, 2022)

Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications. - Qinglei Cao; Sameh Abdulah; Rabab Alomairy; Yu Pei; Pratik Nag; George Bosilca; Jack J. Dongarra; Marc G. Genton; David E. Keyes; Hatem Ltaief; Ying Sun 002 (SC, 2022)

High-performance 3D Unstructured Mesh Deformation Using Rank Structured Matrix Computations. - Rabab Alomairy; Wael Bader; Hatem Ltaief; Youssef Mesri; David E. Keyes (ACM Trans. Parallel Comput., 2022)

Steering Customized AI Architectures for HPC Scientific Applications. - Hatem Ltaief; Yuxi Hong; Adel Dabah; Rabab Alomairy; Sameh Abdulah; Chris Goreczny; Pawel Gepner; Matteo Ravasi; Damien Gratadour; David E. Keyes (ISC, 2023)

The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. - Gengjie Jia; Yu Li 006; Xue Zhong; Kanix Wang; Milton Pividori; Rabab Alomairy; Aniello Esposito; Hatem Ltaief; Chikashi Terao; Masato Akiyama; Koichi Matsuda; David E. Keyes; et al. (Nat. Comput. Sci., 2023)

Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. - Gengjie Jia; Yu Li 006; Xue Zhong; Kanix Wang; Milton Pividori; Rabab Alomairy; Aniello Esposito; Hatem Ltaief; Chikashi Terao; Masato Akiyama; Koichi Matsuda; David E. Keyes; et al. (Nat. Comput. Sci., 2023)

Dynamic Task Scheduling with Data Dependency Awareness Using Julia. - Rabab Alomairy; Felipe Tome; Julian Samaroo; Alan Edelman (HPEC, 2024)

Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression. - Hatem Ltaief; Rabab Alomairy; Qinglei Cao; Jie Ren; Lotfi Slim; Thorsten Kurth; Benedikt Dorschner; Salim Bougouffa; Rached Abdelkhalak; David E. Keyes (SC, 2024)

Scalable Hamming Distance Computation Using Accelerated Matrix Transformations. - Rabab Alomairy; Qinglei Cao; Hatem Ltaief; David E. Keyes; Alan Edelman (ISC, 2025)

Evolution of the SLATE linear algebra library. - Mark Gates; Ahmad Abdelfattah; Kadir Akbudak; Mohammed A. Al Farhan; Rabab Alomairy; Daniel Bielich; Treece Burgess; Sébastien Cayrols; Neil Lindquist; Dalal Sukkari; Asim YarKhan (Int. J. High Perform. Comput. Appl., 2025)

Toward Portable GPU Performance: Julia Recursive Implementation of TRMM and TRSM. - Vicki Carrica; Maxwell Onyango; Rabab Alomairy; Evelyne Ringoot; James Schloss; Alan Edelman (CoRR, 2025)

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision. - Evelyne Ringoot; Rabab Alomairy; Valentin Churavy; Alan Edelman (CoRR, 2025)

Leveraging Hardware-Aware Computation in Mixed-Precision Matrix Multiply: A Tile-Centric Approach. - Qiao Zhang; Rabab Alomairy; Dali Wang; Zhuowei Gu; Qinglei Cao (CoRR, 2025)