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Code Generation: A Strategy for Neural Network Simulators
2010
Neuroinformatics
We demonstrate a technique for the design of neural network simulation software, runtime code generation. This technique can be used to give the user complete flexibility in specifying the mathematical model for their simulation in a high level way, along with the speed of code written in a low level language such as C++. It can also be used to write code only once but target different hardware platforms, including inexpensive high performance graphics processing units (GPUs). Code generation
doi:10.1007/s12021-010-9082-x
pmid:20857234
fatcat:vzkx3zwhnnf73dkt3robfdc45a