SBIR/STTR Award attributes
In order to meet the Navy’s need for a spiking neural network testing platform, ChromoLogic proposes to develop a Spiking Neural Network Modeler (SpiNNMo) capable of simulating a variety of neuromorphic hardware platforms. SpiNNMo is able to extract relevant performance parameters from a neuromorphic chip and then predict the chip’s performance on new networks and data. In this way SpiNNMo can predict accuracy, latency and energy usage for a wide variety of hardware platforms on a given neural network and dataset. This will allow the Navy to test the performance of new spiking neural network architectures and chipsets before the chips are widely available and therefore speed neuromorphic adoption.