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Lawrence Livermore National Security LLC high-performance computing cluster
High Performance Computing Cluster, supplied by Lawrence Livermore National Security LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/high-performance+computing+cluster/high+performance+computers/pm39578580-116-7-12
Average 90 stars, based on 1 article reviews
high-performance computing cluster - by Bioz Stars, 2026-10
90/100 stars

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Article Title: A 30-yr high-resolution weather research and forecasting model downscaling data over California and Nevada
Article Snippet: D. Lucas helped with the Lawrence Livermore National Laboratory High-Performance Computing system, analysis and interpretation of the results.

Article Title: A hidden Markov model for population-level cervical cancer screening data.
Article Snippet: In order to handle the relatively large data size and model complexity, we parallelize the inference over thousands of processors utilizing the high-performance computing (HPC) capabilities of Lawrence Livermore National Laboratory (LLNL).

Article Title: A Functional Gene Array for Detection of Bacterial Virulence Elements
Article Snippet: The computation of each of these factors is CPU-intensive, requiring that we develop highly efficient algorithms and implement them using high performance computers (HPC) at Lawrence Livermore National Laboratory (LLNL).

Article Title: HDBind: encoding of molecular structure with hyperdimensional binary representations.
Article Snippet: All methods presented are trained on the Lassen high-performance computing cluster at Lawrence Livermore National Laboratory.

Article Title: Meta2DB: Curated Shotgun Metagenomic Feature Sets and Metadata for Health State Prediction
Article Snippet: This pipeline leverages high-performance computing (HPC) resources at Lawrence Livermore National Laboratory and was used to process 50TB of publicly available raw metagenomic sequence data.

Article Title: Meta2DB: Curated Shotgun Metagenomic Feature Sets and Metadata for Health State Prediction
Article Snippet: To provide a complementary resource for microbiome-centric model training, we leveraged high-performance computing (HPC) resources at Lawrence Livermore National Laboratory to perform metagenomic classification on 50TB of publicly available raw metagenomic sequence data.

Article Title: Advancements and novel approaches in modified AutoDock Vina algorithms for enhanced molecular docking
Article Snippet: Benchmark tests span a substantial range, from configurations employing 600 cores to those harnessing a formidable 15,408 cores, leveraging the computational resources offered by Lawrence Livermore National Lab HPC systems.



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