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
2001
NEOSIM: Portable large-scale plug and play modelling
Goddard N, Hood G, Howell F, Hines M, De Schutter E. NEOSIM: Portable large-scale plug and play modelling. Neurocomputing 2001, 38: 1657-1661. DOI: 10.1016/s0925-2312(01)00528-8.Peer-Reviewed Original ResearchSet of interfacesData analysis moduleParallel simulation toolsNew simulation frameworkAdditional modelling effortSimulation frameworkAnalysis moduleSimulation moduleLarge-scale plugSimulation toolManageable levelModuleFrameworkLarge scaleComputerArchitectureNEOSIMModelling effortsVisualisationDetailed modelSetPlugInterfaceProtocolTool