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Article
Evaluation of pre-training large language models on leadership-class supercomputers
Large language models (LLMs) have arisen rapidly to the center stage of artificial intelligence as the foundation models applicable to many downstream learning tasks. However, how to effectively build, train, ...
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Chapter and Conference Paper
Toward an Autonomous Workflow for Single Crystal Neutron Diffraction
The operation of the neutron facility relies heavily on beamline scientists. Some experiments can take one or two days with experts making decisions along the way. Leveraging the computing power of HPC platfor...
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Chapter and Conference Paper
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing
The 2021 Smoky Mountains Computational Sciences and Engineering Conference enlists scientists from across Oak Ridge National Laboratory (ORNL) and industry to be data sponsors and help create data analytics an...
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Article
Open AccessIdentifying multi-hit carcinogenic gene combinations: Scaling up a weighted set cover algorithm using compressed binary matrix representation on a GPU
Despite decades of research, effective treatments for most cancers remain elusive. One reason is that different instances of cancer result from different combinations of multiple genetic mutations (hits). Ther...
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Chapter and Conference Paper
Towards a Universal Classifier for Crystallographic Space Groups: A Trickle-Down Approach to Handle Data Imbalance
Convergent Beam Electron Diffraction (CBED) images are 2D diffraction patterns created through the interaction between the fired electron and the atoms of a crystalline structure. Due to the absence of geometr...
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Article
Open AccessAuthor Correction: Differentiating between cancer and normal tissue samples using multi-hit combinations of genetic mutations
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Article
Open AccessDifferentiating between cancer and normal tissue samples using multi-hit combinations of genetic mutations
Cancer is known to result from a combination of a small number of genetic defects. However, the specific combinations of mutations responsible for the vast majority of cancers have not been identified. Current...
