title: Framework for interactive million-neuron simulation.
abstract: Large simulations have become increasingly complex in many fields, tending to incorporate scale-dependent modeling and algorithms and wide-ranging physical influences. This scale of simulation sophistication has not yet been matched in neuroscience. The authors describe a framework aimed at enabling natural interaction with complex simulations: their configuration, initial conditions, monitoring, and analysis. The architecture is built on three cornerstone components: active probes, adaptive data capture, and visual interface. The resulting synthesis will enable interactive exploration of live simulations running on supercomputing platforms.
authors.affiliation: Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois 60637-1470, USA. hereld@mcs.anl.gov
authors.forename: Mark
authors.initials: M
authors.lastname: Hereld
authors.forename: Rick L
authors.initials: RL
authors.lastname: Stevens
authors.forename: Hyong C
authors.initials: HC
authors.lastname: Lee
authors.forename: Wim
authors.initials: W
authors.lastname: van Drongelen
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D011381:Programming Languages