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Let s Talk Exascale: Revisiting the Cancer Distributed Learning Environment (CANDLE) Project

Let s Talk Exascale: Revisiting the Cancer Distributed Learning Environment (CANDLE) Project
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Heidi hansonLos alamosLawrence livermoreJohn gounleyScott gibsonDesign of advanced computing solutions for cancerMultiscale systems groupEngineering divisionDepartment of energyNational cancer instituteOak ridge national laboratoryComputational sciencesMultiscale systems modeling groupTalk exascale podcastDistributed learning environmentOak ridge national

LLNL Scientists Develop Model for More Efficient Simulations of Protein Interactions Linked to Cancer

LLNL Scientists Develop Model for More Efficient Simulations of Protein Interactions Linked to Cancer
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Fred streitzTomas oppelstrupHelgi ingolfssonTim carpenterDwight nissleyJim glosliFelice lightstoneFrederick national laboratory for cancer researchDepartment of energyLawrence livermore national laboratoryNational cancer instituteCancer research technology programDesign of advanced computing solutions for cancerSan jose state universityPhysical reviewDynamic density functional theory

DOE Awards 18M HPC Node Hours to 45 ASCR Projects, Including Access to Perlmutter, Polaris and Frontier

June 29, 2022 – Today, the U.S. Department of Energy (DOE) announced that 18 million node-hours have been awarded to 45 scientific projects under the [.]

United statesOak ridgeOffice of advanced scientific computing researchDepartment of energyNational cancer instituteScientific computing researchLawrence berkeley national laboratoryUs department of energyDesign of advanced computing solutions for cancerOak ridge national laboratoryArgonne national laboratoryNational energy research scientific computing centerLeadership computing challengeAdvanced scientific computing researchArgonne leadership computing facilityOak ridge leadership computing facility

DOE Awards 18M Node-Hours of Computing Time to Support Cutting-Edge Research

DOE Awards 18M Node-Hours of Computing Time to Support Cutting-Edge Research
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United statesOak ridgeOffice of advanced scientific computing researchDepartment of energyNational cancer instituteScientific computing researchLawrence berkeley national laboratoryUs department of energyDesign of advanced computing solutions for cancerOak ridge national laboratoryArgonne national laboratoryNational energy research scientific computing centerLeadership computing challengeArgonne leadership computing facilityOak ridge leadership computing facilityBarb helland

Researchers Use Machine Learning to Model Proteins Linked to Cancer

Lawrence Livermore National Laboratory (LLNL) researchers and a multi-institutional team of scientists have developed a machine learning-backed model showing the importance of lipids to the signaling dynamics of RAS, a

Helgi ingolfssonLawrence livermore national laboratoryDepartment of energyProceedings of the national academy sciencesNational cancer instituteDesign of advanced computing solutions for cancerNational academyJoint designAdvanced computing solutionsProceedings of the national academy sciencesUltiscale machine learned modeling infrastructureHelgi ingolfssonOint design of advanced computing solutions for cancerDepartment of energyNational cancer institute