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Simulating the First Hybrid Neuromorphic Supercomputer |
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Tuesday, April 21, 2015 |
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In order for brain-inspired computing to become a reality, the underlying hardware must become sufficiently powerful to do in-silicon what the brain does naturally. One of the important advances in this field was the 2014 debut of the first neuromorphic chip, “True North,” developed by IBM with funding from the Defense Advanced Research Projects Agency.
This month, a project was announced that will further explore the technology that was set in motion by IBM. As part of the “Massively Parallel Modeling and Simulation of Next-Generation Hybrid Neuromorphic Supercomputer Systems,” researchers at the Rensselaer Polytechnic Institute will address the potential for the neuromorphic processor to incorporated into a next-generation supercomputer.
One of the primary advantages of the brain’s computational ability is its speed and efficiency. Computers that rely on neuromorphic processing are expected to use far less energy and emit less heat than conventional chips. They will also excel at classification problems, like pattern recognition and dealing with error messages. |
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