2019
Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks
Magalhães B, Sterling T, Hines M, Schürmann F. Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks. Lecture Notes In Computer Science 2019, 11538: 421-434. DOI: 10.1007/978-3-030-22744-9_33.Peer-Reviewed Original ResearchRuntime systemNeural networkScientific applicationsLarge-scale scientific applicationsAsynchronous runtime systemHPX runtime systemParalleX execution modelOverlap of computationLinear data structuresBetter cache localityCompute architecturesExecution modelParallel executionCore kernelsData structureCache localitySynchronous executionMemory spaceCache levelsNode levelBenchmark resultsExecutionLower timeNumber of timestepsNetwork
2008
1 Simulation of Large Networks Technique and Progress
Lytton W, Stewart M, Hines M. 1 Simulation of Large Networks Technique and Progress. 2008, 3-17. DOI: 10.1016/b978-012373649-9.50004-1.Peer-Reviewed Original Research
2003
ModelDB: A Resource for Neuronal and Network Modeling
Davison A, Morse T, Migliore M, Marenco L, Shepherd G, Hines M. ModelDB: A Resource for Neuronal and Network Modeling. 2003, 99-109. DOI: 10.1007/978-1-4615-1079-6_7.Peer-Reviewed Original Research