Jamaludin Mohd-Yusof

According to our database, Jamaludin Mohd-Yusof authored at least 18 papers between 2007 and 2024.

Collaborative distances:

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

2024

Deep learning uncertainty quantification for clinical text classification.

Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao

J. Biomed. Informatics, January, 2024

2023

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., October, 2023

2022

Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization.

Colin Unger, Zhihao Jia, Wei Wu, Sina Lin, Mandeep Baines, Carlos Efrain Quintero Narvaez, Vinay Ramakrishnaiah, Nirmal Prajapati, Patrick S. McCormick, Jamaludin Mohd-Yusof, Xi Luo, Dheevatsa Mudigere, Jongsoo Park, Misha Smelyanskiy, Alex Aiken

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

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, Christoph Junghans, Damien Lebrun-Grandié, Jamaludin Mohd-Yusof, Stan G. Moore, Daniel Osei-Kuffuor, Steven J. Plimpton, Adrian Pope, Samuel Temple Reeve, Lee F. Ricketson, Aaron Scheinberg, Amil Y. Sharma, Michael E. Wall

Int. J. High Perform. Comput. Appl., 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, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon

Int. J. High Perform. Comput. Appl., 2021

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

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, Linda Coyle, Lynne Penberthy, Benjamin McMahon, Tanmoy Bhattacharya

CoRR, 2020

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

Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

2019

Combating Label Noise in Deep Learning using Abstention.

Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof

Proceedings of the 36th International Conference on Machine Learning, 2019

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

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, Matthew Baughman

BMC Bioinform., 2018

2017

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

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

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

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

Proceedings of the Fourth International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, 2014

2009

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

2008

Using GPUs to improve multigrid solver performance on a cluster.

Dominik Göddeke, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick S. McCormick, Hilmar Wobker, Christian Becker, Stefan Turek

Int. J. Comput. Sci. Eng., 2008

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

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