2024
BioCoder: a benchmark for bioinformatics code generation with large language models
Tang X, Qian B, Gao R, Chen J, Chen X, Gerstein M. BioCoder: a benchmark for bioinformatics code generation with large language models. Bioinformatics 2024, 40: i266-i276. PMID: 38940140, PMCID: PMC11211839, DOI: 10.1093/bioinformatics/btae230.Peer-Reviewed Original ResearchConceptsCode generationLanguage modelAmount of domain knowledgeDomain-specific knowledgeJava methodsDomain knowledgeClass declarationsPerformance gainsData operationsPython functionsTraining datasetSuccess modelIntricate taskTest benchmarksDocker imageBenchmarksCodeSmall modelsDatasetGlobal variablesBioCodeFunctional dependenceEvaluate various modelsIncreasing needCodeGen
2020
An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language
Kumbhar P, Awile O, Keegan L, Alonso J, King J, Hines M, Schürmann F. An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language. Lecture Notes In Computer Science 2020, 12137: 45-58. PMCID: PMC7302241, DOI: 10.1007/978-3-030-50371-0_4.Peer-Reviewed Original ResearchDomain-specific languageDomain-specific optimizationsSource compiler frameworkCode generation frameworkTarget code generationUser modelCompiler frameworkModeling languageCode generationMultiple SIMDModern hardwareTarget architectureParallel simulationGeneration frameworkOverall speedupEfficient codeUser communityOptimized kernelsSpeedupAlgebraic simplificationSoftwareFrameworkCodeProduction simulationKernel
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply