Framework for interactive million-neuron simulation.
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.
Hereld
Mark
M
Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois 60637-1470, USA. hereld@mcs.anl.gov
Stevens
Rick L
RL
Lee
Hyong C
HC
van Drongelen
Wim
W
D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D011381:Programming Languages