Exploring weak scalability for FEM calculations on a GPU-enhanced cluster. - Dominik Göddeke; Robert Strzodka; Jamaludin Mohd-Yusof; Patrick S. McCormick; Sven H. M. Buijssen; Matthias Grajewski; Stefan Turek (Parallel Comput., 2007)

Scout: a data-parallel programming language for graphics processors. - Patrick S. McCormick; Jeff T. Inman; James P. Ahrens; Jamaludin Mohd-Yusof; Greg Roth; Sharen J. Cummins (Parallel Comput., 2007)

Using GPUs to improve multigrid solver performance on a cluster. - Dominik Göddeke; Robert Strzodka; Jamaludin Mohd-Yusof; Patrick S. McCormick; Hilmar Wobker; Christian Becker 002; Stefan Turek (Int. J. Comput. Sci. Eng., 2008)

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU. - Dominik Göddeke; Hilmar Wobker; Robert Strzodka; Jamaludin Mohd-Yusof; Patrick S. McCormick; Stefan Turek (Int. J. Comput. Sci. Eng., 2009)

Exploring the construction of a domain-aware toolchain for high-performance computing. - Patrick S. McCormick; Christine Sweeney; Nick Moss; Dean Prichard; Samuel K. Gutierrez; Kei Davis; Jamaludin Mohd-Yusof (WOLFHPC@SC, 2014)

Spatial adaptive sampling in multiscale simulation. - Bertrand Rouet-Leduc; Kipton Barros; Emmanuel Cieren; Venmugil Elango; Christoph Junghans; Turab Lookman; Jamaludin Mohd-Yusof; Robert S. Pavel; Axel Y. Rivera; Dominic Roehm; Allen L. McPherson; Timothy C. Germann (Comput. Phys. Commun., 2014)

A Case Study in Computational Caching Microservices for HPC. - John Jenkins; Galen M. Shipman; Jamaludin Mohd-Yusof; Kipton Barros; Philip H. Carns; Robert B. Ross (IPDPS Workshops, 2017)

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research. - Justin M. Wozniak; Rajeev Jain; Prasanna Balaprakash; Jonathan Ozik; Nicholson T. Collier; John Bauer; Fangfang Xia; Thomas S. Brettin; Rick Stevens; Jamaludin Mohd-Yusof; Cristina Garcia-Cardona; Brian Van Essen; et al. (BMC Bioinform., 2018)

The basic matrix library (BML) for quantum chemistry. - Nicolas Bock; Christian F. A. Negre; Susan M. Mniszewski; Jamaludin Mohd-Yusof; Bálint Aradi; Jean-Luc Fattebert; Daniel Osei-Kuffuor; Timothy C. Germann; Anders M. N. Niklasson (J. Supercomput., 2018)

Combating Label Noise in Deep Learning using Abstention. - Sunil Thulasidasan; Tanmoy Bhattacharya 001; Jeff A. Bilmes; Gopinath Chennupati; Jamal Mohd-Yusof (ICML, 2019)

High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. - Justin M. Wozniak; Hyun Seung Yoo; Jamaludin Mohd-Yusof; Bogdan Nicolae; Nicholson T. Collier; Jonathan Ozik; Thomas S. Brettin; Rick Stevens (MLHPC/AI4S@SC, 2020)

Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. - Sayera Dhaubhadel; Jamaludin Mohd-Yusof; Kumkum Ganguly; Gopinath Chennupati; Sunil Thulasidasan; Nicolas W. Hengartner; Brent J. Mumphrey; Eric B. Durbin; Jennifer A. Doherty; Mireille Lemieux; Noah Schaefferkoetter; Georgia D. Tourassi; et al. (CoRR, 2020)

Performance Optimizations of Recursive Electronic Structure Solvers targeting Multi-Core Architectures (LA-UR-20-26665). - Adetokunbo Adedoyin; Christian F. A. Negre; Jamaludin Mohd-Yusof; Nicolas Bock; Daniel Osei-Kuffuor; Jean-Luc Fattebert; Michael E. Wall; Anders M. N. Niklasson; Susan M. Mniszewski (CoRR, 2021)

Co-design Center for Exascale Machine Learning Technologies (ExaLearn). - Francis J. Alexander; James A. Ang; Jenna A. Bilbrey; Jan Balewski; Tiernan Casey; Ryan Chard; Jong Choi 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

Enabling particle applications for exascale computing platforms. - Susan M. Mniszewski; James F. Belak; Jean-Luc Fattebert; Christian F. A. Negre; Stuart R. Slattery; Adetokunbo A. Adedoyin; Robert F. Bird; Choong-Seock Chang; Guangye Chen; Stéphane Ethier; Shane Fogerty; Salman Habib 002; et al. (Int. J. High Perform. Comput. Appl., 2021)

Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization. - Colin Unger; Zhihao Jia; Wei Wu 016; Sina Lin; Mandeep Baines; Carlos Efrain Quintero Narvaez; Vinay Ramakrishnaiah; Nirmal Prajapati; Patrick S. McCormick; Jamaludin Mohd-Yusof; Xi Luo; Dheevatsa Mudigere; et al. (OSDI, 2022)

FrESCO: Framework for Exploring Scalable Computational Oncology. - Adam Spannaus; John Gounley; Mayanka Chandra Shekar; Zachary R. Fox; Jamaludin Mohd-Yusof; Noah Schaefferkoetter; Heidi A. Hanson (J. Open Source Softw., 2023)

Deep learning uncertainty quantification for clinical text classification. - Alina Peluso; Ioana Danciu; Hong-Jun Yoon; Jamaludin Mohd-Yusof; Tanmoy Bhattacharya 001; Adam Spannaus; Noah Schaefferkoetter; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; et al. (J. Biomed. Informatics, 2024)

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. - Alexander Partin; Priyanka Vasanthakumari; Oleksandr Narykov; Andreas Wilke; Natasha Koussa; Sara E. Jones; Yitan Zhu; Jamie C. Overbeek; Rajeev Jain; Gayara Demini Fernando; Cesar Sanchez-Villalobos; Cristina Garcia-Cardona; et al. (CoRR, 2025)

Global explainability of a deep abstaining classifier. - Sayera Dhaubhadel; Jamaludin Mohd-Yusof; Benjamin H. McMahon; Trilce Estrada; Kumkum Ganguly; Adam Spannaus; John P. Gounley; Xiao-Cheng Wu; Eric B. Durbin; Heidi A. Hanson; Tanmoy Bhattacharya 001 (CoRR, 2025)